UWAGA! Wyczyścić listę mapowanie_osob_bn_pbl_po_imporcie (za dużo niepoprawnych relacji pbl-bn po ostatnim imporcie) Przed rozpoczęciem pracy zaktualizuj zgodnie z obecnym stanem bazy listę książek na dysku za poprzedni rocznik. Przed rozpoczęciem pracy wyszukaj frazy “bezpiecznik” i “aktualizacja”.
options(java.parameters = "-Xmx32000m")
Komunikat ostrzegawczy:
package ‘RJDBC’ was built under R version 3.6.3 options(scipen = 999)
pacman::p_load(utf8,googlesheets4,zoo,stringr,splitstackshape,plyr,dplyr,sqldf,stringdist,fuzzyjoin,data.table,svMisc,tidyverse,RJDBC,arrangements,tokenizers,openxlsx,jsonlite)
`%notin%` <- Negate(`%in%`)
#połączenie z bazą PBL
jdbcDriver =JDBC("oracle.jdbc.OracleDriver",classPath=paste("C:/Users/",employee_name,"/Downloads/ojdbc6.jar",sep = ""))
PBL <- dbConnect(jdbcDriver, "jdbc:oracle:thin:@//pbl.ibl.poznan.pl:1521/xe", "IBL_SELECT", "CR333444")bn_ks <- chunk1
#wczytanie listy utożsamionych twórców z autorami BN
#bezpiecznik: użyć sheets_auth() z konsoli
pbl_viaf <- sheets_read(ss = "1cEz73dGN2r2-TTc702yne9tKfH9PQ6UyAJ2zBSV6Jb0") %>%
filter(czy_ten_sam!="nie") %>%
select(pbl_id, BN_id, BN_name) %>%
mutate(BN_name = str_replace_all(BN_name,"\\|\\(", " ("),
BN_name = str_replace_all(BN_name, "\\;\\|", "; ")) %>%
cSplit(.,"BN_name",sep = "|",direction = "long") %>%
filter(BN_name!="")Reading from 'mapowanie_osob_bn_pbl'pbl_viaf2 <- sheets_read(ss = "1_Bhwzo0xu4yTn8tF0ZNAZq9iIAqIxfcrjeLVCm_mggM") %>%
filter(czy_ten_sam!="nie") %>%
select(pbl_id, BN_id, BN_name) %>%
mutate(BN_name = str_replace_all(BN_name,"\\|\\(", " ("),
BN_name = str_replace_all(BN_name, "\\;\\|", "; ")) %>%
cSplit(.,"BN_name",sep = "|",direction = "long") %>%
filter(BN_name!="")Reading from 'mapowanie_osob_bn_pbl_druga_czesc'pbl_viaf3 <- sheets_read(ss = "1L-7Zv9EyLr5FeCIY_s90rT5Hz6DjAScCx6NxfuHvoEQ") %>%
filter(czy_ten_sam!="nie") %>%
select(pbl_id, BN_id, BN_name) %>%
mutate(BN_name = str_replace_all(BN_name,"\\|\\(", " ("),
BN_name = str_replace_all(BN_name, "\\;\\|", "; ")) %>%
cSplit(.,"BN_name",sep = "|",direction = "long") %>%
filter(BN_name!="")Reading from 'mapowanie_osob_bn_pbl_po_imporcie'pbl_viaf <- rbind(pbl_viaf,pbl_viaf2, pbl_viaf3) %>%
arrange(pbl_id) %>%
unique()
remove(pbl_viaf2)
remove(pbl_viaf3)
#bezpiecznik!
#sprawdź, czy jedno hasło bn nie zasila kilku haseł twórców pbl
# pbl_viaf_test1 <- sheets_read(ss = "1cEz73dGN2r2-TTc702yne9tKfH9PQ6UyAJ2zBSV6Jb0") %>%
# filter(czy_ten_sam!="nie") %>%
# select(pbl_id, BN_id, BN_name)
# pbl_viaf_test2 <- sheets_read(ss = "1_Bhwzo0xu4yTn8tF0ZNAZq9iIAqIxfcrjeLVCm_mggM") %>%
# filter(czy_ten_sam!="nie") %>%
# select(pbl_id, BN_id, BN_name)
# pbl_viaf_test3 <- sheets_read(ss = "1L-7Zv9EyLr5FeCIY_s90rT5Hz6DjAScCx6NxfuHvoEQ") %>%
# filter(czy_ten_sam!="nie") %>%
# select(pbl_id, BN_id, BN_name)
# pbl_viaf_test <- rbind(pbl_viaf_test1,pbl_viaf_test2,pbl_viaf_test3) %>%
# arrange(pbl_id) %>%
# unique()
#
# count <- as.data.frame(table(pbl_viaf_test$BN_id))
# pbl_viaf_test_1 <- merge(pbl_viaf_test,count,by.x = "BN_id",by.y = "Var1",all.x = TRUE) %>%
# unique()
#bezpiecznik!
#w obiekcie pbl_viaf_test_1 przy frekwencji większej niż 1 należy przeanalizować grupy, jeśli do tego samego identyfikatora pbl przypisane sa różne identyfikatory bn, które jednak opisują tę samą osobę, to wszystko jest okej; w przeciwnym razie trzeba przeprowadzić korektę w plikach "mapowanie_osob_bn_pbl"
# count2 <- as.data.frame(table(pbl_viaf_test$pbl_id))
# pbl_viaf_test_2 <- merge(pbl_viaf_test,count2,by.x = "pbl_id",by.y = "Var1",all.x = TRUE) %>%
# unique()
#bezpiecznik!
#dla grupy o frekwencji większej niż 1 sprawdź, czy w zestawie identyfikatorów bn nie ma rażących błędów; w przeciwnym razie trzeba przeprowadzić korektę w plikach "mapowanie_osob_bn_pbl"
#utożsamianie po nazewnictwie z informacją o dziale
tworca_i_dzial <- dbGetQuery(PBL,
"select tw.tw_tworca_id \"pbl_id\", dz.dz_dzial_id||'|'||dz.dz_nazwa \"osoba_pbl_dzial_id_name\"
from pbl_tworcy tw
full join pbl_dzialy dz on dz.dz_dzial_id=tw.tw_dz_dzial_id")
#listy nazwisk BN ze zbioru
#100
marc_field_100 <- bn_ks %>%
select(id,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(bn_ks$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}Progress: 1 on 7 Progress: 2 on 7 Progress: 3 on 7 Progress: 4 on 7 Progress: 5 on 7 Progress: 6 on 7 Progress: 7 on 7 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}Progress: 1 on 7 Progress: 2 on 7 Progress: 3 on 7 Progress: 4 on 7 Progress: 5 on 7 Progress: 6 on 7 Progress: 7 on 7 marc_field_100 <- marc_field_100 %>%
select(id,`$a`,`$d`,`$c`) %>%
mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
select(id,name) %>%
mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1"))
osoba_bn_100_pbl <- marc_field_100 %>%
unique() %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
select(1:3) %>%
left_join(.,tworca_i_dzial,by = "pbl_id") %>%
select(id,osoba_pbl_dzial_id_name) %>%
group_by(id) %>%
mutate(osoba_bn_autor = paste(unique(osoba_pbl_dzial_id_name),collapse = "~")) %>%
select(-osoba_pbl_dzial_id_name) %>%
ungroup() %>%
unique()Column `name`/`BN_name` joining character vector and factor, coercing into character vector#600
marc_field_600 <- bn_ks %>%
select(id,X600)%>%
filter(X600!="") %>%
mutate(X600=str_replace_all(X600,"(^|\\|)","~\\1")) %>%
cSplit(.,"X600",sep = "~",direction = "long") %>%
filter(X600!="") %>%
mutate(X600=str_remove_all(X600,"^\\|")) %>%
mutate(indicator = str_replace_all(X600,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(bn_ks$X600,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_600)[1]))
colnames(empty_table) <-subfield_list
marc_field_600<-cbind(marc_field_600,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_600$X600 <- str_replace(marc_field_600$X600,subfield_list_char[i],"|\\1")
}Progress: 1 on 13 Progress: 2 on 13 Progress: 3 on 13 Progress: 4 on 13 Progress: 5 on 13 Progress: 6 on 13 Progress: 7 on 13 Progress: 8 on 13 Progress: 9 on 13 Progress: 10 on 13 Progress: 11 on 13 Progress: 12 on 13 Progress: 13 on 13 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_600[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_600$X600),str_replace_all(gsub(string,"\\3",marc_field_600$X600),"\\${2}.", "~"),NA)
}Progress: 1 on 13 Progress: 2 on 13 Progress: 3 on 13 Progress: 4 on 13 Progress: 5 on 13 Progress: 6 on 13 Progress: 7 on 13 Progress: 8 on 13 Progress: 9 on 13 Progress: 10 on 13 Progress: 11 on 13 Progress: 12 on 13 Progress: 13 on 13 marc_field_600 <- marc_field_600 %>%
select(id,`$a`,`$d`,`$c`) %>%
mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
select(id,name) %>%
mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1"))
osoba_bn_600_pbl <- marc_field_600 %>%
unique() %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
select(1:3) %>%
left_join(.,tworca_i_dzial,by = "pbl_id") %>%
select(id,osoba_pbl_dzial_id_name) %>%
group_by(id) %>%
mutate(osoba_bn_temat = paste(unique(osoba_pbl_dzial_id_name),collapse = "~")) %>%
select(-osoba_pbl_dzial_id_name) %>%
ungroup() %>%
unique()Column `name`/`BN_name` joining character vector and factor, coercing into character vectorbn_ks <- bn_ks %>%
full_join(.,osoba_bn_100_pbl,by = "id") %>%
full_join(.,osoba_bn_600_pbl,by = "id")
#bezpiecznik!
#sprawdzić
#jeśli obiekt bezpiecznik będzie miał jakiekolwiek wiersze, to oznacza, że w pliku "mapowanie_osob_bn_pbl" jest wiersz z twórcą, którego nie ma w bazie lub jego identyfikator jest błędny
#jeśli obiekt bezpiecznik jest pusty - to wszystko okej
# sprawdz czy id tworcy z ktorejs tabeli na dysku istnieje w bazie oracle, jesli nie, wklej id tworcy z oracla do tabeli lub - jeśli nie ma takiego twórcy w bazie usuń wiersz w tabeli. Następnie dopisz fragment kodu, by usunąć kolumny osoba_bn_autor i osoba_bn_temat (po tej operacji usuń dopisany kod) i uruchom chunk ponownie
# bn_ks <- bn_ks %>%
# select(-osoba_bn_autor,-osoba_bn_temat)
bezpiecznik <- bn_ks %>%
filter(osoba_bn_autor=="NA")
chunk2 <- bn_ks#wskazanie interesujących PBL dziedzin wiedzy po UKD i określenie typu UKD
bn_ks <- chunk2 %>%
mutate(dziedzina_PBL = ifelse(str_detect(X080,"(?<=\\$a|:|\\[|\\+|\\()(82)"),"ukd_lit",
ifelse(str_detect(X080,"(?<=\\$a|:|\\[|\\+)(791)")|str_detect(X080,"(?<=\\$a|:)(792)")|str_detect(X080,"\\$a7\\.09"),"ukd_tfrtv",
ifelse(str_detect(X080,"(?<=\\$a01)(\\(|\\/|2|4|5|9)")|str_detect(X080,"(?<=\\$a|\\[])(050)")|str_detect(X080,"(?<=\\$a|:|\\[|\\+|\\()(811\\.162)"),"ukd_biblio",
ifelse(str_detect(X080,"\\$a002")|str_detect(X080,"(?<=\\$a|:)(305)")|str_detect(X080,"(?<=\\$a39|:39)(\\(438\\)|8\\.2)")|str_detect(X080,"(?<=\\$a|:)(929[^\\.]051)")|str_detect(X080,"(?<=\\$a|:)(929[^\\.]052)"),"ukd_pogranicze","bez_ukd_PBL")))))
#ograniczenie rekordów z ukd językowym
biblio <- bn_ks %>%
select(id, X008, X009, X015, X041, X044, X080, X100, X245, X246, X250, X260, X300, X380, X386, X490, X500, X501, X546, X600, X650, X655, X700, X710, X800, X830, rok, BN_URL, osoba_bn_autor, osoba_bn_temat, dziedzina_PBL) %>%
filter(dziedzina_PBL=="ukd_biblio")
dobre_biblio <- biblio %>%
filter(!grepl("Podręczniki dla dzieci|Podręczniki dla szkół podstawowych",X655),
!grepl("szkoły podstawowe|rozmówki|nauczanie|logopedia",X650,ignore.case = TRUE),
!grepl("811\\.162\\.1\\(075\\.2\\)|811\\.162\\'24\\(078\\)",X080),
!grepl("ćwiczenia i zadania|poradniki dla nauczycieli|słownik.*?\\-polski|słownik polsko\\-|Słowniki dla dzieci",X655,ignore.case = TRUE),
!(grepl("Podręczniki",X655)&grepl("Kształcenie nauczycieli",X650)))
dobre_biblio2 <- biblio %>%
filter(!(is.na(osoba_bn_autor)&is.na(osoba_bn_temat)))
dobre_biblio <- dobre_biblio %>%
bind_rows(dobre_biblio2 %>% filter(id %notin% dobre_biblio$id))
zle_biblio <- biblio %>%
filter(id %notin% dobre_biblio$id)
bn_ks$dziedzina_PBL[bn_ks$id %in% zle_biblio$id] <- NA
#wskazanie interesujących PBL rekordów bez UKD, które są w kluczu PBL
bez_ukd_ale_PBL <- bn_ks %>%
select(id, X080, X650, X655, osoba_bn_autor, osoba_bn_temat, dziedzina_PBL) %>%
filter(dziedzina_PBL == "bez_ukd_PBL"&X080==""&is.na(osoba_bn_autor)&is.na(osoba_bn_temat)) %>%
mutate(bez_ukd_ale_PBL = grepl("literat|literac|pisar|bajk|dramat|epigramat|esej|felieton|film|komedi|nowel|opowiadani|pamiętnik|poemiks|poezj|powieść|proza|reportaż|satyr|wspomnieni|Scenariusze zajęć|Podręczniki dla gimnazjów|teatr|Nagrod|aforyzm|baśń|baśnie|polonijn|dialogi|fantastyka naukowa|legend|pieśń|poemat|przypowieś|honoris causa|filologi|kino polskie|pieśni|interpretacj",X650, ignore.case = TRUE)|grepl("literat|literac|pisar|bajk|dramat|epigramat|esej|felieton|film|komedi|nowel|opowiadani|pamiętnik|poemiks|poezj|powieść|proza|reportaż|satyr|wspomnieni|Scenariusze zajęć|Podręczniki dla gimnazjów|teatr|Nagrod|aforyzm|baśń|baśnie|polonijn|dialogi|fantastyka naukowa|legend|pieśń|poemat|przypowieś|honoris causa|filologi|kino polskie|pieśni|interpretacj",X655,ignore.case = TRUE)) %>%
filter(bez_ukd_ale_PBL == TRUE) %>%
select(id) %>%
mutate(bez_ukd_ale_PBL = "tak")
bn_ks <- bn_ks %>%
full_join(.,bez_ukd_ale_PBL,by = "id")
#Biblia
biblia <- bn_ks %>%
filter(grepl("biblia", X630, ignore.case = TRUE),
grepl("analiza i interpretacja|edycja krytyczna|materiały konferencyjne", X655, ignore.case = TRUE)) %>%
select(id) %>%
mutate(czy_biblia = "tak")
bn_ks <- bn_ks %>%
full_join(biblia,by = "id")
#wspomnienia,pamiętniki,literatura podróżnicza,reportaż
wspomnienia <- bn_ks %>%
mutate(czy_wspomnienia_reportaz = ifelse(str_detect(X655,"Pamiętniki i wspomnienia")|str_detect(X655,"Literatura podróżnicza")|str_detect(X655,"Pamiętniki")|str_detect(X655,"Reportaż")|str_detect(X655,"Relacja z podróży"),"tak",NA)) %>%
select(id,czy_wspomnienia_reportaz) %>%
unique()
bn_ks <- bn_ks %>%
full_join(.,wspomnienia,by = "id")
#słowa literackie w polu 245
rekordy_slowa <- sqldf("select *
from bn_ks a
where LOWER(a.X245) like ('%'||'pisar'||'%')
or LOWER(a.X245) like ('%'||'literat'||'%')
or LOWER(a.X245) like ('%'||'literac'||'%')
or LOWER(a.X245) like ('%'||'teatr'||'%')
or LOWER(a.X245) like ('%'||'film'||'%')
or LOWER(a.X245) like ('%'||'dramat'||'%')
or LOWER(a.X245) like ('%'||'interpretacj'||'%')") %>%
select(id) %>%
mutate(slowa_literackie = "tak") %>%
unique()
bn_ks <- bn_ks %>%
full_join(.,rekordy_slowa,by = "id")
bn_ok <- bn_ks %>%
filter(!((is.na(osoba_bn_autor)&is.na(osoba_bn_temat))&dziedzina_PBL=="bez_ukd_PBL"&is.na(bez_ukd_ale_PBL)&is.na(czy_wspomnienia_reportaz)&is.na(slowa_literackie)&is.na(czy_biblia)))
#interpretacje nieliterackie
zle_interpretacje <- bn_ok %>%
filter(grepl("interpretacj",X245,ignore.case = TRUE)|grepl("interpretacj",X650,ignore.case = TRUE)|grepl("interpretacj",X245,ignore.case = TRUE)) %>%
filter(grepl("\\$a336|\\$a342|\\$a32|\\$a551|\\$a616|\\$a159\\.961",X080)|grepl("prawn|handl|handel|kodeks|prac|ustaw|administrac|spółka|spółek|prawa|podatk",X655,ignore.case = TRUE)|grepl("prawn|handl|handel|kodeks|prac|ustaw|administrac|spółka|spółek|prawa|podatk",X650,ignore.case = TRUE)|grepl("prawn|handl|handel|kodeks|ustaw|administrac|spółka|spółek|prawa|podatk",X245,ignore.case = TRUE))
bn_ok <- bn_ok %>%
filter(id %notin% zle_interpretacje$id)
#usuwanie zdublowanych książek
#020
marc_field_020 <- bn_ok %>%
select(id,X020)%>%
filter(X020!="") %>%
mutate(X020=str_replace_all(X020,"(^|\\|)","~\\1")) %>%
cSplit(.,"X020",sep = "~",direction = "long") %>%
filter(X020!="") %>%
mutate(X020=str_remove_all(X020,"^\\|")) %>%
mutate(indicator = str_replace_all(X020,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(bn_ok$X020,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_020)[1]))
colnames(empty_table) <-subfield_list
marc_field_020<-cbind(marc_field_020,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_020$X020 <- str_replace(marc_field_020$X020,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_020[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_020$X020),str_replace_all(gsub(string,"\\3",marc_field_020$X020),"\\${2}.", "~"),NA)
}
marc_field_020 <- marc_field_020 %>%
select(id,isbn=`$a`)
distance1 <- bn_ok %>%
filter(!grepl("\\$n",X245)) %>%
left_join(.,marc_field_020,by="id") %>%
mutate(porownanie = paste(isbn,substr(str_to_lower(str_replace_all(X245, "\\W", "")),4,14),str_extract(X300,"(?<=\\$a)(.*?)(?=,| )"),sep = "|"))
count <- as.data.frame(table(distance1$porownanie))
distance1 <- merge(distance1,count,by.x = "porownanie",by.y = "Var1",all.x = TRUE) %>%
select(porownanie,Freq,2:155) %>%
arrange(-Freq,porownanie) %>%
select(porownanie,Freq,id) %>%
cSplit(.,"porownanie",sep = "|",direction = "wide") %>%
arrange(porownanie_2,porownanie_3,porownanie_1,-Freq,id)
count <- as.data.frame(table(distance1$porownanie_2,distance1$porownanie_3)) %>%
filter(Freq>0)
distance1 <- distance1 %>%
left_join(.,count,by=c("porownanie_2"="Var1","porownanie_3"="Var2")) %>%
arrange(porownanie_2,porownanie_3,-Freq.y,porownanie_1,-Freq.y,id) %>%
group_by_at(vars(4:6)) %>%
fill(porownanie_1) %>%
ungroup() %>%
unique() %>%
select(-Freq.y) %>%
rename(Freq = Freq.x)
#poszukanie dystansu Levenshteina == 1 przy takim samym ISBN
distance2 <- distance1 %>%
filter(!is.na(porownanie_1)) %>%
group_by(porownanie_1) %>%
mutate(Freq = paste(Freq,collapse = "|"),
id = paste(id,collapse = "|"),
porownanie_2 = paste(porownanie_2,collapse = "|"),
porownanie_3 = paste(porownanie_3,collapse = "|")) %>%
ungroup() %>%
unique() %>%
mutate(ile = str_count(porownanie_2,"\\|")+1) %>%
arrange(-ile) %>%
mutate(id_grupy = 1:lengths(.)) %>%
filter(ile>1) %>%
cSplit(.,c("Freq","id","porownanie_2","porownanie_3"),sep = "|",direction = "long") %>%
unique() %>%
filter(!is.na(id))
permutations <- data.frame(stringsAsFactors = FALSE)
x <- 1:max(distance2$id_grupy)
for (i in x) {
progress(match(i,x), max.value = length(x))
distance3 <- as.vector(unlist(distance2 %>% filter(id_grupy==i) %>% select(porownanie_2)))
iteration <- as.data.frame(permutations(distance3,2)) %>%
mutate(id_grupy = i)
y <- 1:length(iteration$V1)
for (j in y) {
progress(match(j,y), max.value = length(y))
iteration$distance[j] <- adist(iteration$V1[j],iteration$V2[j])
}
permutations <- rbind(permutations,iteration)
}
permutations <- permutations %>%
filter(distance<=1)
distance2 <- distance2 %>%
filter(id_grupy %in% permutations$id_grupy) %>%
select(id,id_grupy)
#połączyć distance2 z distance1, żeby wydobyć pełną listę zdublowanych książek
duble_ksiazek <- distance1 %>%
unite("porownanie", porownanie_1:porownanie_3, sep = "|") %>%
filter(Freq>1) %>%
full_join(.,distance2,by="id")
duble_ksiazek$same <- cumsum(!duplicated(duble_ksiazek$porownanie))
duble_ksiazek <- duble_ksiazek %>%
arrange(id_grupy,same) %>%
mutate(id_grupy_dubli = ifelse(!is.na(id_grupy),as.character(id_grupy),paste("x",same,sep = ""))) %>%
select(id,id_grupy_dubli) %>%
arrange(id_grupy_dubli)
duble_ksiazek$id_grupy_dubli <- cumsum(!duplicated(duble_ksiazek$id_grupy_dubli))
#uzupełnienie całego zbioru o informację o dublu, wydobycie dubli do osobnego pliku i usuniecie ich z głównego pliku z rekordami bn; wskazanie listy interesujących pól
bn_ok <- bn_ok %>%
left_join(.,duble_ksiazek,by="id") %>%
select(id, X008, X009, X015, X041, X044, X080, X100, X245, X246, X250, X260, X300, X380, X386, X490, X500, X501, X546, X600, X650, X655, X700, X710, X800, X830, rok, BN_URL, osoba_bn_autor, osoba_bn_temat, dziedzina_PBL, bez_ukd_ale_PBL, czy_wspomnienia_reportaz, slowa_literackie, czy_biblia, id_grupy_dubli)
duble_ksiazek <- bn_ok %>%
filter(!is.na(id_grupy_dubli)) %>%
arrange(id_grupy_dubli)
bn_ok <- bn_ok %>%
filter(is.na(id_grupy_dubli))
#wpisanie w zdublowane rekordy jak największej ilości danych (suma wszystkich dubli)
duble_ksiazek <- duble_ksiazek %>%
arrange(id_grupy_dubli,-nchar(X015))
duble_ksiazek[is.na(duble_ksiazek)] <- ""
duble_naprawione <- data.frame(stringsAsFactors = FALSE)
x <- 1:max(duble_ksiazek$id_grupy_dubli)
y <- c(4:27,29:34)
for (i in x) {
progress(match(i,x), max.value = length(x))
iteration <- duble_ksiazek %>%
filter(id_grupy_dubli==i)
for (j in y) {
if (j==30) {
iteration[,j] <- iteration[,j][nchar(iteration[,j])==min(nchar(iteration[,j]))][1]
} else {
iteration[,j] <- iteration[,j][nchar(iteration[,j])==max(nchar(iteration[,j]))][1]
}
}
duble_naprawione <- rbind(duble_naprawione,iteration)
}
#pozostawienie pojedynczych wierszy dla książek
duble_naprawione <- duble_naprawione[!duplicated(duble_naprawione$id_grupy_dubli),]
duble_naprawione <- duble_naprawione %>%
mutate(osoba_bn_autor = ifelse(osoba_bn_autor!="",as.character(osoba_bn_autor),NA),
osoba_bn_temat = ifelse(osoba_bn_temat!="",as.character(osoba_bn_temat),NA),
dziedzina_PBL = ifelse(dziedzina_PBL!="",as.character(dziedzina_PBL),NA),
bez_ukd_ale_PBL = ifelse(bez_ukd_ale_PBL!="",as.character(bez_ukd_ale_PBL),NA),
czy_wspomnienia_reportaz = ifelse(czy_wspomnienia_reportaz!="",as.character(czy_wspomnienia_reportaz),NA),
slowa_literackie = ifelse(slowa_literackie!="",as.character(slowa_literackie),NA),)
#połączenie unikatowych książek z dubli z całym zbiorem
bn_ok <- bn_ok %>%
bind_rows(.,duble_naprawione) %>%
select(-id_grupy_dubli)
#usunięcie zagranicznych zapisów, które nie są polonikami
#na podstawie braku wystąpień frazy "pol" w polach MARC
nie_poloniki <- bn_ok %>%
filter(if (X501=="") !grepl("pl",substr(X008,16,18))) %>%
filter(!grepl("pol",substr(X008,36,38))) %>%
filter(!grepl("pol",X041)) %>%
filter(!grepl("pl",X044)) %>%
filter(!grepl("pol",X500,ignore.case = TRUE)) %>%
filter(!grepl("pol",X501,ignore.case = TRUE)) %>%
filter(!grepl("pol",X546,ignore.case = TRUE)) %>%
select(id) %>%
mutate(czy_polonik = "nie") %>%
unique()
bn_ok <- bn_ok %>%
full_join(.,nie_poloniki,by = "id") %>%
select(id, X008, X009, X041, X044, X080, X100, X245, X246, X250, X260, X300, X380, X386, X490, X500, X501, X500, X546, X600, X650, X655, X700, X710, X800, X830, rok, BN_URL, osoba_bn_autor, osoba_bn_temat, dziedzina_PBL, bez_ukd_ale_PBL, czy_wspomnienia_reportaz, slowa_literackie, czy_polonik, czy_biblia) %>%
unique()
#wskazanie niepoloników i usunięcie ze zbioru
nie_poloniki <- bn_ok %>%
filter(czy_polonik=="nie") %>%
filter(is.na(osoba_bn_autor)|is.na(osoba_bn_temat)|!(osoba_bn_autor %in% c("148|Hasła osobowe (literatura polska)","430|Hasła osobowe (Ludzie teatru i filmu)"))|!(osoba_bn_temat %in% c("148|Hasła osobowe (literatura polska)","430|Hasła osobowe (Ludzie teatru i filmu)")))
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from nie_poloniki b)") %>%
select(-czy_polonik)
#usunięcie książek zabawek, do kolorowania, dla małych dzieci, z naklejkami, które nie mają żadnego deskryptora gatunkowego
ks_zabawki <- bn_ok %>%
filter((str_count(X655,"\\$a")==1&grepl("Książka zabawka|Książki dla małych dzieci|Książka do kolorowania|Książka z naklejkami|Książki dla przedszkolaków|Wydawnictwa dla dzieci",X655))|str_count(X655,"\\$a")==2&grepl("Książka obrazkowa",X655)&grepl("Książki dla małych dzieci",X655)|str_count(X655,"\\$a")==2&grepl("Książka do kolorowania",X655)&grepl("Publikacje dla dzieci",X655)|str_count(X655,"\\$a")==2&grepl("Książki zabawki",X655)&grepl("Wycinanki",X655)|str_count(X655,"\\$a")==2&grepl("Książki dla małych dzieci",X655)&grepl("Publikacje dla dzieci",X655)|str_count(X655,"\\$a")==2&grepl("Książka zabawka",X655)&grepl("Książki dla małych dzieci",X655)|str_count(X655,"\\$a")==2&grepl("Książka zabawka",X655)&grepl("Publikacje dla dzieci",X655))
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from ks_zabawki b)")
# usunięcie książek dotyczących glottodydaktyki
ks_glottodydaktyka <- bn_ok %>%
filter(str_detect(tolower(X490), "język polski dla cudzoziemców|czytaj po polsku : materiały pomocnicze do nauki języka polskiego jako obcego|testy ogólne i specjalistyczne z języka polskiego jako obcego|kultura i język polski dla cudzoziemców|czytaj po polsku") | str_detect(tolower(X830), "język polski dla cudzoziemców|kultura i język polski dla cudzoziemców|czytaj po polsku"))
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from ks_glottodydaktyka b)")
chunk3 <- bn_okbn_ok <- chunk3Komunikaty ostrzegawcze:
1: Unknown or uninitialised column: 'drugi_autor'.
2: Unknown or uninitialised column: 'drugi_autor'.
3: Unknown or uninitialised column: 'drugi_autor'.
4: Unknown or uninitialised column: 'drugi_autor'.
5: Unknown or uninitialised column: 'drugi_autor'.
6: Unknown or uninitialised column: 'drugi_autor'. #pobranie starych list książek z importu
#aktualizacja - uzupełnij ostatni brakujący zaimportowany rocznik
listy_2011 <- sheets_read(ss = "1s22ClRxlrPHaAXi_n_JJH3mX6vKYzKjsKbpJpQztx_8", sheet = "lista_ksiazek")Reading from 'ks_BN_2011_listy_pracownik昼㸳w'
Range "'lista_ksiazek'"
New names:
* link -> link...4
* link -> link...5listy_2010 <- sheets_read(ss = "1Vjeg0JsYI-8v9B-x_yyujIhmw7UR7Lk7poexrHNdVzM", sheet = "lista_ksiazek")Reading from 'ks_BN_2010_listy_pracownik昼㸳w'
Range "'lista_ksiazek'"
New names:
* `` -> ...4listy_2009 <- sheets_read(ss = "1Gc4gQSm9b4NDTQysiauzW9Jac6yP0oNuFbB8utO4kS4", sheet = "lista_ksiazek")Reading from 'ks_BN_2009_listy_pracownik昼㸳w'
Range "'lista_ksiazek'"
pojawi戼㸳y si攼㹡 warto㤼㹣ci NA na skutek przekszta戼㸳ceniaNew names:
* `` -> ...4listy_2005 <- sheets_read(ss = "1HkWkX61sQWktSXf0v0uPV8j2DwuTocesyCJuKTdisIU", sheet = "lista_ksiazek")Reading from 'ks_BN_2005_listy_pracownik昼㸳w'
Range "'lista_ksiazek'"
New names:
* link -> link...4
* link -> link...5listy_2006 <- sheets_read(ss = "1zeMx_Idsum8JmlM6G7Eufx9LxloHoAHv8V-My71VZf4", sheet = "lista_ksiazek")Reading from 'ks_BN_2006_listy_pracownik昼㸳w'
Range "'lista_ksiazek'"
New names:
* link -> link...4
* link -> link...5listy_2007 <- sheets_read(ss = "19iL7YoD8ug-rLnpzS6FD46aS2J1BRf4qL5VxllywCGE", sheet = "lista_ksiazek")Reading from 'ks_BN_2007_listy_pracownik昼㸳w'
Range "'lista_ksiazek'"
New names:
* link -> link...4
* link -> link...5listy_2008 <- sheets_read(ss = "1RshTeWdXBE7OzOEfoGpL9Ljb_GXDlGDePNjV1HKmuOo", sheet = "lista_ksiazek")Reading from 'ks_BN_2008_listy_pracownik昼㸳w'
Range "'lista_ksiazek'"
New names:
* link -> link...4
* link -> link...5listy_2004 <- sheets_read(ss = "1RmDia97s4B8F74sS7Wbpnv_A9zMfr4xTvcD9leukAfM", sheet = "lista_książek") %>%
mutate(typ_ksiazki = NA, link = NA, link_1 = NA, status = NA, blad_w_imporcie_tytulu = NA) %>%
select(pracownik,ZA_ZAPIS_ID,typ_ksiazki, link, link_1, rok, status, blad_w_imporcie_tytulu, X100, X245, X650, X655, X246, X250, X260, X300, X380, X490, X500, X501, X546, X600, X700, X041, X080)Reading from 'ks_BN_2004_listy_pracownik昼㸳w'
Range "'lista_ksi戼㸹戼㹦ek'"
New names:
* `` -> ...26
* `` -> ...27
* `` -> ...29#ujednolicenie 2004 do wzoru późniejszych rocznikóW
do2004 <- RJDBC::dbGetQuery(PBL,
"select z.za_zapis_id, z.za_status_imp
from pbl_zapisy z
where z.za_uwagi like '%import%02%'")
listy_2004 <- merge(listy_2004,do2004,by = "ZA_ZAPIS_ID",all.x = TRUE) %>%
mutate(status = ZA_STATUS_IMP) %>%
select(-ZA_STATUS_IMP) %>%
select(pracownik,ZA_ZAPIS_ID,typ_ksiazki, link, link_1, rok, status, blad_w_imporcie_tytulu, X100, X245, X650, X655, X246, X250, X260, X300, X380, X490, X500, X501, X546, X600, X700, X041, X080)
#zapewnienie tych samych nazw kolumn
#aktualizacja - wprowadź wiersz dla ostatniego zaimportowanego rocznika
colnames(listy_2011) <- names(listy_2004)
colnames(listy_2010) <- names(listy_2004)
colnames(listy_2009) <- names(listy_2004)
colnames(listy_2005) <- names(listy_2004)
colnames(listy_2006) <- names(listy_2004)
colnames(listy_2007) <- names(listy_2004)
colnames(listy_2008) <- names(listy_2004)
listy_2004 <- listy_2004 %>%
mutate(X655 = str_remove(str_replace_all(X655,"(\\$a)","|\\1"),"^\\|"),
X650 = str_remove(str_replace_all(X650,"(\\$a)","|\\1"),"^\\|"))
#wyznaczenie listy 650 i 655 do automatycznego INO na podstawie wcześniejszych importów - usunięte są tylko te deskryptory, które nie mają związku z literaturą podmiotową
zapisy <- RJDBC::dbGetQuery(PBL,
"select z.za_zapis_id, z.za_status_imp, z.za_uwagi, z.za_adnotacje
from pbl_zapisy z
where z.za_uwagi like '%import%'") %>%
mutate(pracownik_pbl = str_extract(ZA_UWAGI, "(?<=akceptuje:)([A-Z]*)")) %>%
select(ZA_ZAPIS_ID,pracownik_pbl,ZA_STATUS_IMP,ZA_ADNOTACJE)
#aktualizacja - dodaj do skryptu listę z ostatnim brakującym zaimportowanym rocznikiem
do_importu_NIE <- rbind(listy_2004,listy_2005,listy_2006,listy_2007,listy_2008, listy_2009, listy_2010, listy_2011) %>%
full_join(.,zapisy,by = "ZA_ZAPIS_ID") %>%
select(X650,X655,ZA_STATUS_IMP,ZA_ADNOTACJE) %>%
mutate(X650 = str_remove_all(X650,"\\\\7"),
X655 = str_remove_all(X655,"\\\\7"),
joint = paste(X650,X655,sep = "~")) %>%
select(ZA_STATUS_IMP,joint,ZA_ADNOTACJE) %>%
group_by(joint) %>%
mutate(grupa = paste(ZA_STATUS_IMP,collapse = ","),
ZA_ADNOTACJE = paste(ZA_ADNOTACJE,collapse = ",")) %>%
ungroup() %>%
select(joint, grupa,ZA_ADNOTACJE) %>%
unique() %>%
filter(!grepl("rozpisana|rozpisać|rozpisania",ZA_ADNOTACJE)) %>%
mutate(ile = str_count(grupa,",")+1) %>%
filter(grepl("INO",grupa)) %>%
filter(!grepl("IOK|IMP|IPN|IPC",grupa)) %>%
mutate(czy = str_detect(joint,"\\$y[\\d-]+ w\\.")) %>%
filter(czy==FALSE) %>%
select(joint) %>%
mutate(joint = str_remove_all(str_replace_all(joint,"(\\$a)","\\\\#7\\1"),"#")) %>%
mutate(do_wyrzucenia_na_podstawie_INO = "tak")
bn_ok <- bn_ok %>%
mutate(X650 = ifelse(X650=="",NA,as.character(X650)),
X655 = ifelse(X655=="",NA,as.character(X655)),
joint = paste(X650,X655,sep = "~")) %>%
left_join(.,do_importu_NIE,by = "joint") %>%
mutate(X650 = ifelse(is.na(X650),"",as.character(X650)),
X655 = ifelse(is.na(X655),"",as.character(X655)))
do_importu_NIE <- bn_ok %>%
filter(is.na(osoba_bn_autor)&is.na(osoba_bn_temat)&is.na(slowa_literackie)&do_wyrzucenia_na_podstawie_INO=="tak") %>%
filter(!grepl("literat|literac|pamiętnik|pisar",X655,ignore.case = TRUE))
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from do_importu_NIE b)") %>%
select(-joint,-do_wyrzucenia_na_podstawie_INO)
#usunięcie na podstawie tabel KP
out <- sheets_read(ss = "1lO_ZtwyBDePGqXkgWyk_WmGeQBaAQBvEUjNnctrw-vg") %>%
filter(wchodzi_do_pbl == "nie")Reading from 'X650 dla X655 Wydawnictwa popularne'KP_out <- bn_ok %>%
filter(grepl("Wydawnictwa popularne",X655)) %>%
unique() %>%
full_join(.,out,by = "X650") %>%
filter(wchodzi_do_pbl=="nie") %>%
filter(!is.na(X655)) %>%
select(id)
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from KP_out b)")
#czy próbować wyrzucać po UKD, które dostawało tylko INO?
#aktualizacja - dodaj do skryptu listę z ostatnim brakującym zaimportowanym rocznikiem
do_importu_NIE2 <- rbind(listy_2004,listy_2005,listy_2006,listy_2007,listy_2008, listy_2009, listy_2010, listy_2011) %>%
full_join(.,zapisy,by = "ZA_ZAPIS_ID") %>%
select(X080,ZA_STATUS_IMP) %>%
mutate(X080 = str_remove_all(X080,"\\\\")) %>%
select(ZA_STATUS_IMP,X080) %>%
group_by(X080) %>%
mutate(grupa = paste(ZA_STATUS_IMP,collapse = ",")) %>%
ungroup() %>%
select(X080, grupa) %>%
unique() %>%
mutate(ile = str_count(grupa,",")+1) %>%
filter(grepl("INO",grupa)) %>%
filter(!grepl("IOK|IMP|IPN|IPC",grupa)) %>%
#tu się musi KP wypowiedzieć, czy jak było 2xNIE to wystarczy, żeby wywalać
# filter(ile > 1) %>%
select(X080) %>%
mutate(X080 = paste("\\",str_remove_all(str_replace_all(X080,"(\\$a)","\\\\#\\1"),"#"),sep = "")) %>%
mutate(do_wyrzucenia_na_podstawie_INO = "tak")
#na podstawie UKD też wyrzucić - decyzja KP
bn_ok <- bn_ok %>%
full_join(.,do_importu_NIE2,by = "X080") %>%
filter(!is.na(id))
do_importu_NIE2 <- bn_ok %>%
filter(is.na(osoba_bn_autor)&is.na(osoba_bn_temat)&is.na(slowa_literackie)&do_wyrzucenia_na_podstawie_INO=="tak")
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from do_importu_NIE2 b)") %>%
select(-do_wyrzucenia_na_podstawie_INO)
#reszta rekordów, które nie będą zaimportowane
reszta <- sqldf("select *
from bn_ks a
where a.id not in
(select b.id
from bn_ok b)")
chunk4 <- bn_okbn_ok <- chunk4
stare_rodzajowanie <- bn_ok %>%
mutate(czy_ma_ukd = ifelse(X080=="","nie","tak"),
position_dash = ifelse(grepl("(\\\\\\\\\\$a|:)(821\\.)",X080),str_locate(X080,"\\-")[,1], NA),
position_dash = ifelse(is.na(position_dash),"",as.integer(position_dash)),
position_091 = str_locate(X080,"\\(091\\)")[,1],
position_091 = ifelse(is.na(position_091),"",as.integer(position_091)),
rodzaj_ksiazki = ifelse(grepl("Antologi",X655),"antologia",
ifelse(position_091!=""&position_dash!="",
ifelse(as.integer(position_091)<as.integer(position_dash), "przedmiotowa", "podmiotowa"),
ifelse(position_dash!="","podmiotowa","przedmiotowa"))),
rodzaj_ksiazki = ifelse(czy_ma_ukd=="nie","",as.character(rodzaj_ksiazki)))
gatunki_podmiotowe <- stare_rodzajowanie %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
select(X655) %>%
unique() %>%
cSplit(.,"X655",sep = "|",direction = "long") %>%
unique() %>%
filter(str_detect(X655,"\\$y[\\d-]+ w\\."))
gatunki_podmiotowe <- str_replace_all(str_replace_all(paste(gatunki_podmiotowe$X655,collapse = "|"),"(.{2})(\\$a)","\\2"),"\\$","\\\\$")
stare_rodzajowanie$czy_podmiotowy <- grepl(gatunki_podmiotowe,stare_rodzajowanie$X655)|grepl(gatunki_podmiotowe,stare_rodzajowanie$X650)
stare_rodzajowanie <- stare_rodzajowanie %>%
mutate(rodzaj_ksiazki = ifelse(str_count(X245, " / ")+1>2,"antologia",
ifelse(str_count(X245, " / ")+1==2,"współwydanie",
ifelse(rodzaj_ksiazki==""&czy_podmiotowy==TRUE&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(X100!=""&grepl("aPamiętnik|aLiteratura podróżnicza",X655)&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(X100!=""&grepl("aReportaż",X655)&grepl("\\$y",X655)&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(X100!=""&(X655=="\\7$aReportaż polski$2DBN"|X655=="\\7$aReportaż$2DBN")&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(rodzaj_ksiazki==""&czy_podmiotowy==FALSE,"przedmiotowa",as.character(rodzaj_ksiazki)))))))),
rodzaj_ksiazki = ifelse(rodzaj_ksiazki=="","przedmiotowa",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(grepl("Lektury Wszech Czasów : streszczenie, analiza, interpretacja|Lektury Wszech Czasów - Literat|Biblioteczka Opracowań",X490)|grepl("Lektury Wszech Czasów : streszczenie, analiza, interpretacja|Lektury Wszech Czasów - Literat|Biblioteczka Opracowań",X830),"przedmiotowa",as.character(rodzaj_ksiazki)),
ilu_tworcow = str_count(X100,"\\$a"),
rodzaj_ksiazki = ifelse(ilu_tworcow>4&rodzaj_ksiazki=="podmiotowa","antologia",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(grepl("Legendy",X655),"antologia",as.character(rodzaj_ksiazki))) %>%
filter(grepl("katalog wystawy",X655,ignore.case = TRUE)&rodzaj_ksiazki=="przedmiotowa") %>%
select(id)
##właściwe rodzajowanie z uwaględnieniem jednego elementu ze starego rodzajowania
bn_ok <- bn_ok %>%
mutate(czy_ma_ukd = ifelse(X080=="","nie","tak"),
position_dash = ifelse(grepl("(\\\\\\\\\\$a|:)(821\\.)",X080),str_locate(str_replace(X080,"(.*?)(\\$a821\\.)(.*?$)","\\2\\3"),"\\-")[,1]+nchar(str_replace(X080,"(.*?)(\\$a821\\.)(.*?$)","\\1")), NA),
position_dash = ifelse(is.na(position_dash),"",as.integer(position_dash)),
position_091 = str_locate(X080,"\\(091\\)")[,1],
position_091 = ifelse(is.na(position_091),"",as.integer(position_091)),
rodzaj_ksiazki = ifelse(grepl("antologi|Przysłowia [\\S]+\\$2|Cytaty\\$2",X655,ignore.case = TRUE),"antologia",
ifelse(position_091!=""&position_dash!="",
ifelse(as.integer(position_091)<as.integer(position_dash), "przedmiotowa", "podmiotowa"),
ifelse(position_dash!="","podmiotowa","przedmiotowa"))),
rodzaj_ksiazki = ifelse(czy_ma_ukd=="nie","",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(grepl("82-93",X080)&rodzaj_ksiazki!="antologia","podmiotowa",as.character(rodzaj_ksiazki)))
rekordy_podmiotowe_stare <- dbGetQuery(PBL,
"select z.za_zapis_id
from pbl_zapisy z
join IBL_OWNER.pbl_rodzaje_zapisow rz on rz.rz_rodzaj_id=z.za_rz_rodzaj1_id
where rz.rz_rodzaj_id=1
and z.za_uwagi like '%import%'")
#aktualizacja - dodaj do skryptu listę z ostatnim brakującym zaimportowanym rocznikiem
gatunki_poprzednie_imp <- rbind(listy_2004,listy_2005,listy_2006,listy_2007,listy_2008, listy_2009, listy_2010, listy_2011) %>%
filter(ZA_ZAPIS_ID %in% rekordy_podmiotowe_stare$ZA_ZAPIS_ID) %>%
mutate(X655 = ifelse(rok==2004,str_remove_all(str_replace_all(X655,"(\\$a)","\\\\#7\\1"),"#"),as.character(X655))) %>%
select(X655) %>%
unique()
gatunki_podmiotowe <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
select(X655) %>%
bind_rows(.,gatunki_poprzednie_imp) %>%
unique() %>%
cSplit(.,"X655",sep = "|",direction = "long") %>%
unique() %>%
filter(!grepl("xhistoria|xtematyka|xbiografia",X655)) %>%
filter(str_detect(X655,"\\$y[\\d-]+ w\\."),
grepl("( \\S+)(\\$y)(.*?$)", X655)) %>%
#mutate(X655 = str_replace(X655, "(?<= )(\\S+)(\\$y)(.*?$)", "[\\\\S]+\\2")) %>%
mutate(X655 = str_replace(X655, "(?<= )(\\S+)(\\$y)(.*?$)", ".+\\2")) %>%
unique()
gatunki_podmiotowe <- str_replace_all(str_replace_all(str_replace_all(paste(gatunki_podmiotowe$X655,collapse = "|"),"(.{2})(\\$a)","\\2"),"\\$","\\\\$"), "\\(", "\\\\\\(")
bn_ok$czy_podmiotowy <- grepl(gatunki_podmiotowe,bn_ok$X655)|grepl(gatunki_podmiotowe,bn_ok$X650)
bn_ok <- bn_ok %>%
mutate(rodzaj_ksiazki = ifelse(str_count(X245, " \\/ ")+1>2,"antologia",
ifelse(str_count(X245, " \\/ \\[{0,1}[A-ZAÁÀÂÃÄĂĀÅĄÆEÉÈÊËĚĒĖĘIÍÌÎÏĪĮIOÓÒÔÕÖŐØŒUÚÙÛÜŰŪůYÝCĆČçDĎĐĐGĢĞKĶLŁĻNŃÑŇŅŊRŘSŚŠŞSßTŤŦÞŢ8ZŻŹŽ]")+1==2,"współwydanie",
ifelse(rodzaj_ksiazki==""&czy_podmiotowy==TRUE&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(X100!=""&grepl("aPamiętnik|aLiteratura podróżnicza",X655)&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(X100!=""&grepl("aReportaż",X655)&grepl("\\$y",X655)&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(X100!=""&(X655=="\\7$aReportaż polski$2DBN"|X655=="\\7$aReportaż$2DBN")&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(rodzaj_ksiazki==""&czy_podmiotowy==FALSE,"przedmiotowa",as.character(rodzaj_ksiazki)))))))),
rodzaj_ksiazki = ifelse(rodzaj_ksiazki=="","przedmiotowa",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(grepl("Lektury Wszech Czasów \\: streszczenie, analiza, interpretacja|Lektury Wszech Czasów - Literat|Biblioteczka Opracowań",X490)|grepl("Lektury Wszech Czasów \\: streszczenie, analiza, interpretacja|Lektury Wszech Czasów - Literat|Biblioteczka Opracowań",X830),"przedmiotowa",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(grepl("aLektura z Opracowaniem - Zielona Sowa|aLektura \\(Greg\\)|aLektura Dobrze Opracowana|aLektura z Opracowaniem - Ibis",X830),"podmiotowa",as.character(rodzaj_ksiazki)),
ilu_tworcow = str_count(X100,"\\$a"),
rodzaj_ksiazki = ifelse(ilu_tworcow>4&rodzaj_ksiazki=="podmiotowa","antologia",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(grepl("Legendy|\\$vantologi",X655),"antologia",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(str_count(X100, "\\|")==0&X100!=""&rodzaj_ksiazki=="antologia"&grepl("Legendy i podania|Antologia",X655),"podmiotowa",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(X100==""&str_count(X700,"\\$t")==3&grepl("Harlequin",X260),"antologia",as.character(rodzaj_ksiazki))) %>%
select(1:34,rodzaj_ksiazki)
# przypisania do podmiotowej na podstawie smierci przed 1700
marc_field_100 <- bn_ok %>%
filter(!is.na(osoba_bn_autor)) %>%
select(id,X100)%>%
filter(!grepl("\\|", X100)) %>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(bn_ok$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}
marc_field_100 <- marc_field_100 %>%
filter(!is.na(`$d`) & str_extract(`$d`, "\\d+(?!.*\\d+)") < 1700)
bn_ok <- bn_ok %>%
mutate(rodzaj_ksiazki = ifelse(id %in% marc_field_100$id, "podmiotowa", as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(id %in% stare_rodzajowanie$id, "przedmiotowa",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(X080=="\\\\$a82-1/-9(0.054)"&rodzaj_ksiazki=="przedmiotowa"&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(rodzaj_ksiazki=="podmiotowa"&grepl("aut\\.",X245)&grepl("et al\\.",X245),"antologia",as.character(rodzaj_ksiazki)))
chunk5 <- bn_okbn_ok <- chunk5
IOK_podm <- bn_ok %>%
filter(!grepl("\\$t",X700)) %>%
mutate(ile_gatunkow = ifelse(rodzaj_ksiazki=="podmiotowa",str_count(X655,"\\$a"),"nie"),
tylko_podmiotowe = ifelse(str_count(X655,"\\$a")>0&str_count(X655,"\\$a")==str_count(X655,"\\$y")&str_count(X655,"\\$y")!=str_count(X655,"\\$x"),"tak","nie")) %>%
filter(str_count(X100,"\\$a")==1) %>%
filter(!grepl("pseud|nazwa",X500,ignore.case = TRUE)&X501==""&(tylko_podmiotowe=="tak"|ile_gatunkow=="1")&X100!="")
#zestawienie 100 i 245
#100
marc_field_100 <- IOK_podm %>%
select(id,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(IOK_podm$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 marc_field_100 <- marc_field_100 %>%
select(id,`$a`) %>%
mutate(bn_nazwisko = ifelse(str_detect(`$a`,","),str_replace(`$a`,"^(.*?)(, )(.*?$)","\\1"),as.character(`$a`)),
bn_imie = ifelse(str_detect(`$a`,","),str_replace(`$a`,"^(.*?)(, )(.*?$)","\\3"),"")) %>%
select(id,bn_nazwisko,bn_imie)
IOK_podm <- IOK_podm %>%
full_join(.,marc_field_100,by = "id")
x <- 1:length(IOK_podm$id)
for (i in x) {
IOK_podm$czy_nazwisko[i] <- grepl(IOK_podm$bn_nazwisko[i],IOK_podm$X245[i])
IOK_podm$czy_imie[i] <- grepl(IOK_podm$bn_imie[i],IOK_podm$X245[i])
}
#usunięcie tych, które nie mają tytułów oryginalnych
IOK_podm <- IOK_podm %>%
filter(czy_nazwisko==1&czy_imie==1&!grepl("et al\\.",X245)) %>%
select(-bn_nazwisko,-bn_imie,-czy_nazwisko,-czy_imie) %>%
unique() %>%
mutate(jezyk = str_extract(X041,("(?<=\\$h)(...)"))) %>%
mutate(czy_tytul_obcy = ifelse(is.na(jezyk),"nie dotyczy",
ifelse(!grepl("pol",jezyk),
ifelse(X246!="","ok",
ifelse(grepl("Tyt[,\\.] oryg",X501)|grepl("Tyt[,\\.] oryg",X500),"ok","problem")),"nie dotyczy"))) %>%
filter(czy_tytul_obcy!="problem") %>%
select(id) %>%
mutate(automatyczna_podmiotowa = "tak")
###tutaj kończą się automatyczne podmiotowe
bn_ok <- bn_ok %>%
full_join(.,IOK_podm,by = "id") %>%
mutate(czy_automatycznie = ifelse(!is.na(automatyczna_podmiotowa),"podmiotowa","nie")) %>%
select(-automatyczna_podmiotowa) %>%
mutate(czy_automatycznie = ifelse(czy_automatycznie=="podmiotowa"&rodzaj_ksiazki!="podmiotowa","nie",as.character(czy_automatycznie)))
###czy i jak automatyzować przedmiotową?
#write.csv2(bn_ok, "C:/Users/Cezary/Desktop/bn_ok_2009.csv", row.names = F, na = '', fileEncoding = 'UTF-8')
chunk6 <- bn_okbn_ok <- chunk6
#propozycja1
#na później kierowane są wszystkie książki przedmiotowe, które mają bez_ukd_PBL lub ukd_pogranicze i nie są biblią oraz książki wydane poza Polską, które nie poszły do automatycznego importu oraz harlequiny, które nie poszły do automatycznego importu
na_pozniej <- bn_ok %>%
filter((if (X501=="") !grepl("pl",substr(X008,16,18))&!grepl("pol",substr(X008,36,38))&czy_automatycznie=="nie")|czy_automatycznie=="nie"&rodzaj_ksiazki=="przedmiotowa"&dziedzina_PBL %in% c("bez_ukd_PBL","ukd_pogranicze")&(czy_biblia!="tak"|is.na(czy_biblia))|grepl("arleq",X260,ignore.case = TRUE)&czy_automatycznie=="nie")warunek posiada d戼㸳ugo㤼㹣攼㸶 > 1 i tylko pierwszy element b攼㹡dzie u戼㹦yty#bezpiecznik
#propozycja2
#propozycja, by kierować na później wszystkie książki przedmiotowe z dziedziny "bez_ukd_PBL"
# na_pozniej <- bn_ok %>%
# filter(czy_automatycznie=="nie"&rodzaj_ksiazki=="przedmiotowa"&dziedzina_PBL=="bez_ukd_PBL"&(czy_biblia!="tak"|is.na(czy_biblia)))
# #propozycja3
# na_pozniej <- bn_ok %>%
# filter(czy_automatycznie=="nie"&rodzaj_ksiazki=="przedmiotowa"&dziedzina_PBL %in% c("bez_ukd_PBL","ukd_pogranicze")&(czy_biblia!="tak"|is.na(czy_biblia)))
#propozycja4
#stara operacja
# na_pozniej <- bn_ok %>%
# filter(czy_automatycznie=="nie"&rodzaj_ksiazki=="przedmiotowa"&dziedzina_PBL=="bez_ukd_PBL") %>%
# mutate(kategorie_literackie = ifelse(grepl("mitolog|baś|bajk|poezj|liryk|epik|dramat|literac|literat|pisar|wiersz|proz|powieś|opowiad|miniatur|aforyzm|esej|szkic|feliet|report|dzienni|wspomnie|autobiograf|kaza|rozmyśl|list|interpretacj",X650,ignore.case = TRUE)|grepl("mitolog|baś|bajk|poezj|liryk|epik|dramat|literac|literat|pisar|wiersz|proz|powieś|opowiad|miniatur|aforyzm|esej|szkic|feliet|report|dzienni|wspomnie|autobiograf|kaza|rozmyśl|list|interpretacj",X655, ignore.case = TRUE),"tak","nie")) %>%
# filter(kategorie_literackie=="nie") %>%
# mutate(lata = ifelse(grepl("\\d{2}-",X100),str_replace(X100,"(.*\\$d\\(.*?)(\\d{2,4})(\\?{0,1}-.*)","\\2"),NA),
# lata_temat = ifelse(grepl("\\d{2}-",X600),str_replace(X600,"(.*\\$d\\(.*?)(\\d{2,4})(\\?{0,1}-.*)","\\2"),NA)) %>%
# filter((is.na(lata)&is.na(lata_temat))|!(as.integer(lata)<1800)|!(as.integer(lata_temat)<1800))
write.csv2(na_pozniej, paste("C:/Users/",employee_name,"/Desktop/bn_",import_year,"_ks_na_pozniej.csv",sep = ""), row.names = F, na = '', fileEncoding = 'UTF-8')
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from na_pozniej b)")
chunk7 <- bn_okCzy jest sens to robić?
###automatycznie działowanie przedmiotowej na podstawie dotychczasowych importów
#zapisy <- RJDBC::dbGetQuery(PBL,
# "select z.za_zapis_id, dz.dz_dzial_id, dz.dz_nazwa, z.za_status_imp, z.za_uwagi
# from pbl_zapisy z
# join pbl_dzialy dz on dz.dz_dzial_id=z.za_dz_dzial1_id
# where z.za_uwagi like '%import%'") %>%
# mutate(pracownik_pbl = str_extract(ZA_UWAGI, "(?<=akceptuje:)([A-Z]*)")) %>%
# select(-ZA_UWAGI)
#
#poprzednie_importy <- rbind(listy_2004,listy_2005,listy_2006,listy_2007,listy_2008) %>%
# full_join(.,zapisy,by = "ZA_ZAPIS_ID") %>%
# select(X650,X655,DZ_DZIAL_ID,DZ_NAZWA,ZA_STATUS_IMP) %>%
# mutate(X650 = str_remove_all(X650,"\\\\7"),
# X655 = str_remove_all(X655,"\\\\7"),
# X650 = str_remove_all(str_replace_all(X650,"(\\$a)","\\\\#7\\1"),"#"),
# X655 = str_remove_all(str_replace_all(X655,"(\\$a)","\\\\#7\\1"),"#")) %>%
# group_by_at(vars(X650:DZ_NAZWA)) %>%
# mutate(ZA_STATUS_IMP = paste(ZA_STATUS_IMP,collapse = "|")) %>%
# ungroup() %>%
# unique() %>%
# ungroup() %>%
# filter(!grepl("\\|",DZ_DZIAL_ID)) %>%
# filter(grepl("IOK",ZA_STATUS_IMP)) %>%
# filter(!grepl("INO|IMP|IPN|IPC",ZA_STATUS_IMP)) %>%
# filter(!grepl("osobowe",DZ_NAZWA)) %>%
# filter(!(is.na(X650)&is.na(X655))) %>%
# mutate(ile650 = str_count(X650,"\\|")+1,
# ile655 = str_count(X655,"\\|")+1) %>%
# filter(ile650<=10|ile655<=10) %>%
# select(-ile650,-ile655) %>%
# mutate(ile_statusow = str_count(ZA_STATUS_IMP,"\\|")+1) %>%
# arrange(X655,X650,-ile_statusow)
#poprzednie_importy$id_grupy <- cumsum(!duplicated(poprzednie_importy[1:2]))
#poprzednie_importy <- poprzednie_importy[!duplicated(poprzednie_importy$id_grupy),] %>%
# mutate(id = row_number()) %>%
# select(-ile_statusow,-id_grupy)
#
#do_dzialowania <- data.frame(id = as.integer(), X650 = as.character(), X655 = as.character(), stringsAsFactors = FALSE)
#x <- 1:length(poprzednie_importy$id)
#for (i in x){
# progress(match(i,x), max.value = length(x))
# if (is.na(poprzednie_importy$X650[i])&!is.na(poprzednie_importy$X655[i])){
# permutations <- as.data.frame(permutations(unlist(str_split(poprzednie_importy$X655[i],"\\|")), str_count(poprzednie_importy$X655[i],"\\|")+1)) %>%
# unite(data=.,col = "permutation", sep = "|") %>%
# mutate(X650 = NA,
# X655 = permutation,
# id = poprzednie_importy$id[i]) %>%
# select(id,X650,X655)
# do_dzialowania <- rbind(do_dzialowania,permutations)
# } else if (is.na(poprzednie_importy$X655[i])&!is.na(poprzednie_importy$X650[i])){
# permutations <- as.data.frame(permutations(unlist(str_split(poprzednie_importy$X650[i],"\\|")), str_count(poprzednie_importy$X650[i],"\\|")+1)) %>%
# unite(data=.,col = "permutation", sep = "|") %>%
# mutate(X650 = permutation,
# X655 = NA,
# id = poprzednie_importy$id[i]) %>%
# select(id,X650,X655)
# do_dzialowania <- rbind(do_dzialowania,permutations)
# } else {
# permutations <- as.data.frame(permutations(unlist(str_split(poprzednie_importy$X650[i],"\\|")), str_count(poprzednie_importy$X650[i],"\\|")+1)) %>%
# unite(data=.,col = "permutation", sep = "|") %>%
# mutate(X650 = permutation,
# id = poprzednie_importy$id[i]) %>%
# select(id,X650)
# permutations650 <- data.frame(stringsAsFactors = FALSE)
# permutations650 <- rbind(permutations650,permutations)
# permutations <- as.data.frame(permutations(unlist(str_split(poprzednie_importy$X655[i],"\\|")), str_count(poprzednie_importy$X655[i],"\\|")+1)) %>%
# unite(data=.,col = "permutation", sep = "|") %>%
# mutate(X655 = permutation,
# id = poprzednie_importy$id[i]) %>%
# select(id,X655)
# permutations655 <- data.frame(stringsAsFactors = FALSE)
# permutations655 <- rbind(permutations655,permutations)
# permutations <- merge(permutations650,permutations655,by = "id",all = TRUE) %>%
# select(id,X650,X655)
# do_dzialowania <- rbind(do_dzialowania,permutations)
# }
#}
#
#do_dzialowania <- do_dzialowania %>%
# full_join(.,poprzednie_importy %>% select(id,DZ_DZIAL_ID,DZ_NAZWA),by = "id") %>%
# select(-id)
#do_dzialowania[is.na(do_dzialowania)] <- ""
#####tutaj sprawdzić
#do_dzialowania_przedm <- merge(bn_ok %>% filter(czy_automatycznie=="nie"&rodzaj_ksiazki=="przedmiotowa"),do_dzialowania, by = c("X650","X655")) %>%
# select(id,DZ_DZIAL_ID,DZ_NAZWA)#wczytanie kartotek PBL
redaktorzy_dzialow <- sheets_read(ss = "1Baje-ZfPgAKEDAoDzeo_eCBDrsL7jAXt6ubP2cedbFc", sheet = "redaktorzy_działów") %>%
select(DZ_DZIAL_ID, DZ_NAZWA, redaktor_dzialu) #%>%Reading from 'redaktorzy dzia戼㸳昼㸳w'
Range "'redaktorzy_dzia戼㸳昼㸳w'"
New names:
* `` -> ...14 #mutate(DZ_DZIAL_ID = as.character(DZ_DZIAL_ID))
PBL_dzialy <- dbReadTable(PBL,'PBL_DZIALY') %>%
select(1,3,6)
PBL_dzialy_path <- merge(x = PBL_dzialy, y = PBL_dzialy, by.x = "DZ_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
colnames(PBL_dzialy_path) <- c("NAD_DZ_DZIAL_ID", "DZ_DZIAL_ID", "DZ_NAZWA", "NAD_DZ_NAZWA", "NAD_NAD_DZ_DZIAL_ID")
PBL_dzialy_path <- merge(x = PBL_dzialy_path, y = PBL_dzialy, by.x = "NAD_NAD_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
colnames(PBL_dzialy_path) <- c("NAD_NAD_DZ_DZIAL_ID", "NAD_DZ_DZIAL_ID", "DZ_DZIAL_ID", "DZ_NAZWA", "NAD_DZ_NAZWA", "NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_DZ_DZIAL_ID")
PBL_dzialy_path <- merge(x = PBL_dzialy_path, y = PBL_dzialy, by.x = "NAD_NAD_NAD_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
colnames(PBL_dzialy_path) <- c("NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_DZ_DZIAL_ID", "NAD_DZ_DZIAL_ID", "DZ_DZIAL_ID", "DZ_NAZWA", "NAD_DZ_NAZWA", "NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_DZ_DZIAL_ID")
PBL_dzialy_path <- merge(x = PBL_dzialy_path, y = PBL_dzialy, by.x = "NAD_NAD_NAD_NAD_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
colnames(PBL_dzialy_path) <- c("NAD_NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_DZ_DZIAL_ID", "NAD_DZ_DZIAL_ID", "DZ_DZIAL_ID", "DZ_NAZWA", "NAD_DZ_NAZWA", "NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_NAD_DZ_DZIAL_ID")
PBL_dzialy_path <- merge(x = PBL_dzialy_path, y = PBL_dzialy, by.x = "NAD_NAD_NAD_NAD_NAD_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
colnames(PBL_dzialy_path) <- c("NAD_NAD_NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_DZ_DZIAL_ID", "NAD_DZ_DZIAL_ID", "DZ_DZIAL_ID", "DZ_NAZWA", "NAD_DZ_NAZWA", "NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_NAD_NAD_DZ_DZIAL_ID")
PBL_dzialy_path <- PBL_dzialy_path %>%
select(-length(PBL_dzialy_path)) %>%
filter(DZ_DZIAL_ID!=0) %>%
select(6,7,5,8,4,9,3,10,2,11,1,12) %>%
unique()
PBL_dz_osob <- PBL_dzialy_path %>%
filter(grepl("osobowe", DZ_NAZWA)|grepl("osobowe", NAD_DZ_NAZWA)|grepl("osobowe", NAD_NAD_DZ_NAZWA)|grepl("osobowe", NAD_NAD_NAD_DZ_NAZWA)|grepl("osobowe", NAD_NAD_NAD_NAD_DZ_NAZWA)|grepl("osobowe", NAD_NAD_NAD_NAD_NAD_DZ_NAZWA)) %>%
select(1,2,3,4,5,6,7,8) %>%
filter(DZ_DZIAL_ID!=148)
PBL_dz_osob_1 <- PBL_dz_osob %>%
select(1,2,3,4)
PBL_dz_osob_2 <- PBL_dz_osob %>%
select(1,2,5,6)
PBL_dz_osob_3 <- PBL_dz_osob %>%
select(1,2,7,8)
colnames(PBL_dz_osob_2) <- c(names(PBL_dz_osob_1))
colnames(PBL_dz_osob_3) <- c(names(PBL_dz_osob_1))
PBL_dz_osob <- rbind(PBL_dz_osob_1,PBL_dz_osob_2,PBL_dz_osob_3) %>%
filter(!is.na(NAD_DZ_DZIAL_ID)) %>%
unique()
PBL_dz_osob <- rbind(PBL_dz_osob, c("15043", "Hasła osobowe(luksemburska)","15043", "Hasła osobowe(luksemburska)"), c("430", "Hasła osobowe (Ludzie teatru i filmu)","430", "Hasła osobowe (Ludzie teatru i filmu)"))
PBL_dz_osob_bez_teatru <- PBL_dz_osob %>%
filter(DZ_DZIAL_ID!=430)
PBL_tworcy <- dbReadTable(PBL,'PBL_TWORCY')
tw_i_dz_podm <- merge(x=PBL_tworcy,y=PBL_dz_osob_bez_teatru, by.x = "TW_DZ_DZIAL_ID", by.y = "NAD_DZ_DZIAL_ID", all.x = TRUE) %>%
arrange(TW_TWORCA_ID)
tw_i_dz_podm <- data.frame(tw_i_dz_podm, pol_osob = ifelse(tw_i_dz_podm$TW_DZ_DZIAL_ID == 148 & substr(tw_i_dz_podm$TW_NAZWISKO,1,1)==str_sub(tw_i_dz_podm$DZ_NAZWA,nchar(as.character(tw_i_dz_podm$DZ_NAZWA)),nchar(as.character(tw_i_dz_podm$DZ_NAZWA))),TRUE,FALSE), pol = ifelse(tw_i_dz_podm$TW_DZ_DZIAL_ID == 148, TRUE, FALSE)) %>%
filter(pol_osob == TRUE | pol == FALSE)
PBL_tworcy_podm <- tw_i_dz_podm %>%
select(TW_TWORCA_ID, TW_NAZWISKO, TW_IMIE, DZ_DZIAL_ID, DZ_NAZWA, TW_NAZW_WLASCIWE, TW_PSEUDONIMY, TW_DATA_URODZIN, TW_DATA_ZGONU, TW_ROCZNIKI_PBL, TW_SLOWA_KLUCZOWE, TW_UWAGI, TW_ROK_URODZIN, TW_ROK_ZGONU, TW_LICZBA_ZAPISOW, TW_ADNOTACJE, TW_TRANSLITERACJE) %>%
filter(!is.na(DZ_DZIAL_ID))
colnames(PBL_tworcy_podm) <- c("TW_TWORCA_ID", "TW_NAZWISKO", "TW_IMIE", "TW_DZ_DZIAL_ID", "DZ_NAZWA", "TW_NAZW_WLASCIWE", "TW_PSEUDONIMY", "TW_DATA_URODZIN", "TW_DATA_ZGONU", "TW_ROCZNIKI_PBL", "TW_SLOWA_KLUCZOWE", "TW_UWAGI", "TW_ROK_URODZIN", "TW_ROK_ZGONU", "TW_LICZBA_ZAPISOW", "TW_ADNOTACJE", "TW_TRANSLITERACJE")
PBL_tworcy_podm <- PBL_tworcy_podm %>%
mutate(nazwa = ifelse(is.na(TW_IMIE),as.character(TW_NAZWISKO),paste(TW_NAZWISKO,TW_IMIE, sep = "")),
nazwa = str_to_lower(str_replace_all(nazwa, "\\W", "")),
nazwa = str_replace_all(str_to_lower(nazwa), "\\W", ""))
tw_i_dz <- merge(x=PBL_tworcy,y=PBL_dz_osob, by.x = "TW_DZ_DZIAL_ID", by.y = "NAD_DZ_DZIAL_ID", all.x = TRUE) %>%
arrange(TW_TWORCA_ID)
tw_i_dz <- data.frame(tw_i_dz, pol_osob = ifelse(tw_i_dz$TW_DZ_DZIAL_ID == 148 & substr(tw_i_dz$TW_NAZWISKO,1,1)==str_sub(tw_i_dz$DZ_NAZWA,nchar(as.character(tw_i_dz$DZ_NAZWA)),nchar(as.character(tw_i_dz$DZ_NAZWA))),TRUE,FALSE), pol = ifelse(tw_i_dz$TW_DZ_DZIAL_ID == 148, TRUE, FALSE)) %>%
filter(pol_osob == TRUE | pol == FALSE)
PBL_tworcy <- tw_i_dz %>%
select(TW_TWORCA_ID, TW_NAZWISKO, TW_IMIE, DZ_DZIAL_ID, DZ_NAZWA, TW_NAZW_WLASCIWE, TW_PSEUDONIMY, TW_DATA_URODZIN, TW_DATA_ZGONU, TW_ROCZNIKI_PBL, TW_SLOWA_KLUCZOWE, TW_UWAGI, TW_ROK_URODZIN, TW_ROK_ZGONU, TW_LICZBA_ZAPISOW, TW_ADNOTACJE, TW_TRANSLITERACJE)
colnames(PBL_tworcy) <- c("TW_TWORCA_ID", "TW_NAZWISKO", "TW_IMIE", "TW_DZ_DZIAL_ID", "DZ_NAZWA", "TW_NAZW_WLASCIWE", "TW_PSEUDONIMY", "TW_DATA_URODZIN", "TW_DATA_ZGONU", "TW_ROCZNIKI_PBL", "TW_SLOWA_KLUCZOWE", "TW_UWAGI", "TW_ROK_URODZIN", "TW_ROK_ZGONU", "TW_LICZBA_ZAPISOW", "TW_ADNOTACJE", "TW_TRANSLITERACJE")
PBL_tworcy <- PBL_tworcy %>%
mutate(nazwa = ifelse(is.na(TW_IMIE),as.character(TW_NAZWISKO),paste(TW_NAZWISKO,TW_IMIE, sep = "")),
nazwa = str_to_lower(str_replace_all(nazwa, "\\W", "")),
nazwa = str_replace_all(str_to_lower(nazwa), "\\W", ""),
TW_DZ_DZIAL_ID = as.numeric(TW_DZ_DZIAL_ID))
PBL_autorzy <- dbReadTable(PBL,'PBL_AUTORZY') %>%
mutate(nazwa = ifelse(is.na(AM_IMIE),as.character(AM_NAZWISKO),paste(AM_NAZWISKO,AM_IMIE, sep = "")),
nazwa = str_to_lower(str_replace_all(nazwa, "\\W", "")),
nazwa = str_replace_all(str_to_lower(nazwa), "\\W", "")) %>%
filter(nazwa != "nana")
PBL_wspoltworcy <- dbReadTable(PBL,'PBL_OSOBY') %>%
mutate(nazwa_prosta = str_replace_all(str_to_lower(ifelse(is.na(OS_IMIE),as.character(OS_NAZWISKO),paste(OS_NAZWISKO,OS_IMIE, sep = ""))), "\\W", "")) %>%
filter(nazwa_prosta !="nana")
PBL_funkcje <- sheets_read(ss = "1htn_L6REs3GdG1xSiGHIfr6MJvjmmU_kVGxiMZtCV24", sheet = "Arkusz1")Reading from 'import_pbl_funkcje'
Range "'Arkusz1'"PBL_wydawnictwa <- dbReadTable(PBL,'PBL_WYDAWNICTWA') %>%
mutate(nazwa_prosta = str_replace_all(str_to_lower(paste(WY_MIASTO, WY_NAZWA)), "\\W", "")) %>%
filter(nazwa_prosta !="nana")
PBL_rodzaje_zapisow <- dbReadTable(PBL,'PBL_RODZAJE_ZAPISOW')
BN_PBL_lista_literatur <- sheets_read(ss = "1zbwjnrtWGvbjrQTLMavJcWSu7HfP0I-USNgZ_KWiXjc", sheet = "lista ukd bn") %>%
filter(!is.na(ukd_ogolne)) %>%
select(3:9) %>%
cSplit(.,c("pbl_id","pbl_nazwa","redaktor_dzialu","pbl_id_literatury","pbl_literatura"),sep = "|",direction = "long") %>%
filter(!is.na(pbl_id))Reading from 'lista_UKD_literatury'
Range "'lista ukd bn'"PBL_hasla_osobowe <- sheets_read(ss = "1zbwjnrtWGvbjrQTLMavJcWSu7HfP0I-USNgZ_KWiXjc", sheet = "pbl_hasla_osobowe") %>%
select(2:5)Reading from 'lista_UKD_literatury'
Range "'pbl_hasla_osobowe'"
New names:
* nazwa -> nazwa...1
* nazwa -> nazwa...5colnames(PBL_hasla_osobowe) <- c("DZ_DZIAL_ID","DZ_NAZWA","redaktor_dzialu","nazwa")bn_ok <- chunk7
# podzielenie unikatowych rekordów bn na dwa wiersze w tabeli, z których powstaną dwa rekordy pbl
bn_ok <- bn_ok %>%
mutate(ZA_UWAGI = 1:nrow(.))
wspolwydania_fix <- bn_ok %>%
filter(rodzaj_ksiazki=="współwydanie") %>%
mutate(X245 = ifelse(grepl("\\]\\.[^$]",X245),str_replace(X245,"(\\$c)(.*)(\\]\\. )(.* \\/ .*)","\\1\\2]|10$a\\4"),str_replace(X245,"(\\$c)(.*?)(?<!tł|red)(\\. )(.* \\/ .*)","\\1\\2|10$a\\4")),
X245 = str_replace_all(X245, "\\/[^\\$]", "/$c"))
# usunięcie ze zbioru współwydawnictw (będą później połączone)
bn_ok <- bn_ok %>%
filter(id %notin% wspolwydania_fix$id)
# usunięcie z pola X246 wersji tytułów, które nie są tytułami oryginału
marc_field_246 <- wspolwydania_fix %>%
select(ZA_UWAGI,X246)%>%
mutate(X246=str_replace_all(X246,"(^|\\|)","~\\1"),
X246 = ifelse(X246=="~",as.character(X246),str_remove(X246,"^~"))) %>%
cSplit(.,"X246",sep = "~",direction = "long") %>%
mutate(X246=str_remove_all(X246,"^\\|")) %>%
mutate(indicator = str_replace_all(X246,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(wspolwydania_fix$X246,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_246)[1]))
colnames(empty_table) <-subfield_list
marc_field_246<-cbind(marc_field_246,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_246$X246 <- str_replace(marc_field_246$X246,subfield_list_char[i],"|\\1")
}Progress: 1 on 2 Progress: 2 on 2 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_246[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_246$X246),str_replace_all(gsub(string,"\\3",marc_field_246$X246),"\\${2}.", "~"),NA)
}Progress: 1 on 2 Progress: 2 on 2 marc_field_246 <- marc_field_246[, colSums(is.na(marc_field_246)) != nrow(marc_field_246)]
marc_field_246 <- marc_field_246 %>%
filter(is.na(`$i`)|`$i`!="Tyt. przekł.:") %>%
select(ZA_UWAGI,X246) %>%
mutate(X246 = str_remove_all(X246,"\\|")) %>%
group_by(ZA_UWAGI) %>%
mutate(X246 = paste(X246,collapse = "|")) %>%
ungroup() %>%
unique()
wspolwydania_fix$X246 <- marc_field_246$X246
# podział na dwa rekordy
wspolwydania_fix <- wspolwydania_fix %>%
cSplit(c("X245", "X246"), sep = "|", direction = "long") %>%
filter(!is.na(X245))
# zmiana pola ZA_UWAGI na wartość unikatową
wspolwydania_fix %$%
{ ZA_UWAGI==lag(ZA_UWAGI,)} %>%
as.numeric() %>%
{.} -> wspolwydania_fix$same
wspolwydania_fix$same[1] <- 0
wspolwydania_fix <- wspolwydania_fix %>%
mutate(ZA_UWAGI = ifelse(same == 0, paste(rok,sprintf("%05d", as.integer(ZA_UWAGI)), "0", sep = ""), paste(rok,sprintf("%05d", as.integer(ZA_UWAGI)), "1", sep = ""))) %>%
select(-same)
# połączenie zbiorów
bn_ok <- bn_ok %>%
mutate(ZA_UWAGI = paste(rok,sprintf("%05d", as.integer(ZA_UWAGI)),sep = "")) %>%
bind_rows(wspolwydania_fix)binding character and factor vector, coercing into character vectorbinding character and factor vector, coercing into character vectorchunk10 <- bn_okbn_ok <- chunk10
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa")
###przypisanie redaktora na podstawie osoby z 600 jako tematu - książki o twórcy
#600
marc_field_600 <- przedmiotowa_redaktorzy %>%
select(ZA_UWAGI,X600)%>%
filter(X600!="") %>%
mutate(X600=str_replace_all(X600,"(^|\\|)","~\\1")) %>%
cSplit(.,"X600",sep = "~",direction = "long") %>%
filter(X600!="") %>%
mutate(X600=str_remove_all(X600,"^\\|")) %>%
mutate(indicator = str_replace_all(X600,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(przedmiotowa_redaktorzy$X600,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_600)[1]))
colnames(empty_table) <-subfield_list
marc_field_600<-cbind(marc_field_600,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_600$X600 <- str_replace(marc_field_600$X600,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_600[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_600$X600),str_replace_all(gsub(string,"\\3",marc_field_600$X600),"\\${2}.", "~"),NA)
}
marc_field_600 <- marc_field_600 %>%
select(ZA_UWAGI,`$a`,`$d`,`$c`) %>%
mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
select(ZA_UWAGI,name) %>%
mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1"))
marc_field_600 <- marc_field_600 %>%
unique() %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
left_join(.,PBL_tworcy,by = c("pbl_id"="TW_TWORCA_ID")) %>%
left_join(.,redaktorzy_dzialow,by = c("TW_DZ_DZIAL_ID"="DZ_DZIAL_ID")) %>%
select(ZA_UWAGI,TW_TWORCA_ID=pbl_id,TW_NAZWISKO,TW_IMIE,TW_DZ_DZIAL_ID,DZ_NAZWA=DZ_NAZWA.x,redaktor_dzialu)
count <- as.data.frame(table(marc_field_600$ZA_UWAGI))
marc_field_600 <- merge(marc_field_600,count,by.x = "ZA_UWAGI", by.y = "Var1") %>%
filter(Freq<2) %>%
select(-Freq) %>%
rename(DZ_DZIAL_ID=TW_DZ_DZIAL_ID) %>%
mutate(RZ_RODZAJ_ID = 2,
RZ_NAZWA = "książka o twórcy (przedmiotowa)")
###przypisanie do redaktorów na podstawie literatury z pola 655
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
filter(ZA_UWAGI %notin% marc_field_600$ZA_UWAGI)
#655
marc_field_655 <- przedmiotowa_redaktorzy %>%
select(ZA_UWAGI,X655)%>%
filter(X655!="") %>%
mutate(X655=str_replace_all(X655,"(^|\\|)","~\\1")) %>%
cSplit(.,"X655",sep = "~",direction = "long") %>%
filter(X655!="") %>%
mutate(X655=str_remove_all(X655,"^\\|")) %>%
mutate(indicator = str_replace_all(X655,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(przedmiotowa_redaktorzy$X655,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_655)[1]))
colnames(empty_table) <-subfield_list
marc_field_655<-cbind(marc_field_655,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_655$X655 <- str_replace(marc_field_655$X655,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_655[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_655$X655),str_replace_all(gsub(string,"\\3",marc_field_655$X655),"\\${2}.", "~"),NA)
}
marc_field_655 <- marc_field_655 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
PBL_literatury_obce <- PBL_dzialy_path %>%
filter(NAD_DZ_DZIAL_ID==30) %>%
select(1,2) %>%
left_join(.,redaktorzy_dzialow,by = "DZ_DZIAL_ID") %>%
filter(!is.na(redaktor_dzialu)) %>%
select(1,DZ_NAZWA = 2,4) %>%
mutate(nazwa = substr(str_replace(DZ_NAZWA, "(.*?)( )(.*?)","\\3"),1,nchar(str_replace(DZ_NAZWA, "(.*?)( )(.*?)","\\3"))-1),
nazwa = ifelse(nazwa=="romska (cygańska","romsk|cygańsk",as.character(nazwa)))
reczne <- data.frame(DZ_DZIAL_ID = c(32,32,32,32,59,86,107,149,67,69,34,34,34,34,34,55,32,99,34),DZ_NAZWA = c("Literatura brytyjska i irlandzka","Literatura brytyjska i irlandzka","Literatura brytyjska i irlandzka","Literatura brytyjska i irlandzka","Literatura grecka starożytna","Literatura łacińska średniowieczna","Literatura syryjska","Literatura esperanto","Literatura holenderska","Literatury Indii","Literatury Afryki Subsaharyjskiej","Literatury Afryki Subsaharyjskiej","Literatury Afryki Subsaharyjskiej","Literatury Afryki Subsaharyjskiej","Literatury Afryki Subsaharyjskiej", "Literatura egipsko-arabska", "Literatura brytyjska i irlandzka","Literatura palestyńsko-arabska","Literatury Afryki Subsaharyjskiej"), redaktor_dzialu = c("BEATAK","BEATAK","BEATAK","BEATAK","BEATAS","BEATAS","BEATAD","CEZARY","TOMASZU","EWA","EWA","EWA","EWA","EWA","EWA","BEATAD","BEATAK","BEATAD","EWA"), nazwa = c("angielsk","szkock","irlandzk","walijsk","greck","łacińsk","syryjsk","esperanck","niderlandzk","indyjsk","południowoafryka","senegalsk","nigeryjsk","afrykańsk","ruandyjsk","egipsk. nowożytn","celtyck","palestyńsk","somalijsk"))
PBL_literatury_obce <- rbind(PBL_literatury_obce,reczne)
marc_field_655 <- sqldf("select *
from marc_field_655 a
left join PBL_literatury_obce b on a.`$a` like ('%'||b.nazwa||'%')") %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_655$same <- cumsum(!duplicated(marc_field_655[1]))
marc_field_655 <- marc_field_655[!duplicated(marc_field_655$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(marc_field_600))
###przypisanie do redaktorów na podstawie literatury z pola 650
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
filter(ZA_UWAGI %notin% marc_field_600$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% marc_field_655$ZA_UWAGI)
#650
marc_field_650 <- przedmiotowa_redaktorzy %>%
select(ZA_UWAGI,X650)%>%
filter(X650!="") %>%
mutate(X650=str_replace_all(X650,"(^|\\|)","~\\1")) %>%
cSplit(.,"X650",sep = "~",direction = "long") %>%
filter(X650!="") %>%
mutate(X650=str_remove_all(X650,"^\\|")) %>%
mutate(indicator = str_replace_all(X650,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(przedmiotowa_redaktorzy$X650,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_650)[1]))
colnames(empty_table) <-subfield_list
marc_field_650<-cbind(marc_field_650,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_650$X650 <- str_replace(marc_field_650$X650,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_650[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_650$X650),str_replace_all(gsub(string,"\\3",marc_field_650$X650),"\\${2}.", "~"),NA)
}
marc_field_650 <- marc_field_650 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_650 <- sqldf("select *
from marc_field_650 a
left join PBL_literatury_obce b on a.`$a` like ('%'||b.nazwa||'%')") %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_650$same <- cumsum(!duplicated(marc_field_650[1]))
marc_field_650 <- marc_field_650[!duplicated(marc_field_650$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(marc_field_600))
do_przedmiotowej1 <- rbind(marc_field_600,marc_field_655,marc_field_650)
#przypisanie na podstawie deskryptorów tematycznych z 650 i 655
zapisy <- RJDBC::dbGetQuery(PBL,
"select z.za_zapis_id, dz.dz_dzial_id, dz.dz_nazwa, rz.rz_rodzaj_id, rz.rz_nazwa, z.za_status_imp, z.za_uwagi
from pbl_zapisy z
join pbl_dzialy dz on dz.dz_dzial_id=z.za_dz_dzial1_id
join pbl_rodzaje_zapisow rz on rz.rz_rodzaj_id=z.za_rz_rodzaj1_id
where z.za_uwagi like '%import%'") %>%
mutate(pracownik_pbl = str_extract(ZA_UWAGI, "(?<=akceptuje:)([A-Z]*)")) %>%
select(-ZA_UWAGI)
nazwy_lit_obcych <- str_replace_all(paste(PBL_literatury_obce$nazwa,collapse = "|"),"\\(","\\\\(")
#aktualizacja - dodaj do skryptu listę z ostatnim brakującym zaimportowanym rocznikiem
poprzednie_importy <- rbind(listy_2004,listy_2005,listy_2006,listy_2007,listy_2008, listy_2009, listy_2010, listy_2011) %>%
full_join(.,zapisy,by = "ZA_ZAPIS_ID") %>%
select(ZA_ZAPIS_ID,X650,X655,DZ_DZIAL_ID,DZ_NAZWA,RZ_RODZAJ_ID,RZ_NAZWA,pracownik_pbl,ZA_STATUS_IMP) %>%
mutate(X650 = str_remove_all(X650,"\\\\7"),
X655 = str_remove_all(X655,"\\\\7"),
X650 = str_remove_all(str_replace_all(X650,"(\\$a)","\\\\#7\\1"),"#"),
X655 = str_remove_all(str_replace_all(X655,"(\\$a)","\\\\#7\\1"),"#")) %>%
unique() %>%
filter(RZ_RODZAJ_ID %notin% c(0,1,2,250,764)) %>%
arrange(pracownik_pbl,DZ_DZIAL_ID) %>%
filter(!grepl(nazwy_lit_obcych,X650)&!grepl(nazwy_lit_obcych,X655)) %>%
filter(!is.na(pracownik_pbl)) %>%
filter(ZA_STATUS_IMP %in% c("IOK","IPC"))
#przypisanie na podstawie częstotliwości deskryptorów 655
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
filter(ZA_UWAGI %notin% do_przedmiotowej1$ZA_UWAGI)
deskryptory655 <- poprzednie_importy %>%
select(X655,pracownik_pbl,DZ_DZIAL_ID,DZ_NAZWA) %>%
filter(!is.na(X655)) %>%
unite(data=.,col = "deskryptor655", sep = "~")
deskryptory655 <- as.data.frame(table(deskryptory655$deskryptor655)) %>%
cSplit(.,"Var1",sep = "~",direction = "wide") %>%
rename(X655 = Var1_1,
redaktor_dzialu = Var1_2,
DZ_DZIAL_ID = Var1_3,
DZ_NAZWA = Var1_4) %>%
mutate(X655 = str_remove_all(X655,"\\\\7\\$a"),
X655 = str_remove_all(X655,"\\$2DBN"),
X655 = str_replace_all(X655,"\\$.|\\|"," "),
X655 = str_replace_all(X655," ",".*"),
X655 = str_replace_all(X655, "[^\\p{L}\\d\\*\\.\\-\\s]", "")) %>%
arrange(X655,-Freq,DZ_NAZWA)
deskryptory655$id_grupy <- cumsum(!duplicated(deskryptory655[2]))
deskryptory655 <- deskryptory655[!duplicated(deskryptory655$id_grupy),] %>%
select(-id_grupy) %>%
arrange(-Freq)
x <- 1:length(deskryptory655$X655)
test <- data.frame(stringsAsFactors = FALSE)
for (i in x) {
progress(match(i,x), max.value = length(x))
do_przedmiotowej2 <- przedmiotowa_redaktorzy %>%
mutate(redaktor_dzialu = ifelse(grepl(deskryptory655$X655[i],X655),as.character(deskryptory655$redaktor_dzialu)[i],NA),
ile = ifelse(grepl(deskryptory655$X655[i],X655),as.integer(deskryptory655$Freq)[i],NA),
co = ifelse(grepl(deskryptory655$X655[i],X655),as.character(deskryptory655$X655)[i],NA),
DZ_DZIAL_ID = ifelse(grepl(deskryptory655$X655[i],X655),as.integer(deskryptory655$DZ_DZIAL_ID)[i],NA),
DZ_NAZWA = ifelse(grepl(deskryptory655$X655[i],X655),as.character(deskryptory655$DZ_NAZWA)[i],NA)) %>%
filter(!is.na(redaktor_dzialu))
if (length(do_przedmiotowej2$redaktor_dzialu)>0) {
test <- rbind(test,do_przedmiotowej2)
} else {}
}
count <- as.data.frame(table(test$ZA_UWAGI))
do_przedmiotowej2 <- merge(test,count, by.x = "ZA_UWAGI",by.y = "Var1") %>%
mutate(dlugosc = nchar(co)) %>%
arrange(-Freq,ZA_UWAGI,-dlugosc,-ile)
do_przedmiotowej2$id_grupy <- cumsum(!duplicated(do_przedmiotowej2[1]))
do_przedmiotowej2 <- do_przedmiotowej2[!duplicated(do_przedmiotowej2$id_grupy),] %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(do_przedmiotowej1))
#przypisanie na podstawie częstotliwości deskryptorów 650
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
filter(ZA_UWAGI %notin% do_przedmiotowej1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_przedmiotowej2$ZA_UWAGI)
deskryptory650 <- poprzednie_importy %>%
select(X650,pracownik_pbl,DZ_DZIAL_ID,DZ_NAZWA) %>%
filter(!is.na(X650)) %>%
unite(data=.,col = "deskryptor650", sep = "~")
deskryptory650 <- as.data.frame(table(deskryptory650$deskryptor650)) %>%
cSplit(.,"Var1",sep = "~",direction = "wide") %>%
rename(X650 = Var1_1,
redaktor_dzialu = Var1_2,
DZ_DZIAL_ID = Var1_3,
DZ_NAZWA = Var1_4) %>%
mutate(X650 = str_remove_all(X650,"\\\\7\\$a"),
X650 = str_remove_all(X650,"\\$2DBN"),
X650 = str_remove_all(X650,"\\\\\\\\"),
X650 = str_replace_all(X650,"\\$.|\\|"," "),
X650 = str_replace_all(X650," ",".*"),
X650 = str_replace_all(X650, "[^\\p{L}\\d\\*\\.\\-\\s]", "")) %>%
arrange(X650,-Freq,DZ_NAZWA)
deskryptory650$id_grupy <- cumsum(!duplicated(deskryptory650[2]))
deskryptory650 <- deskryptory650[!duplicated(deskryptory650$id_grupy),] %>%
select(-id_grupy) %>%
arrange(-Freq)
x <- 1:length(deskryptory650$X650)
test <- data.frame(stringsAsFactors = FALSE)
for (i in x) {
progress(match(i,x), max.value = length(x))
do_przedmiotowej3 <- przedmiotowa_redaktorzy %>%
mutate(redaktor_dzialu = ifelse(grepl(deskryptory650$X650[i],X650),as.character(deskryptory650$redaktor_dzialu)[i],NA),
ile = ifelse(grepl(deskryptory650$X650[i],X650),as.integer(deskryptory650$Freq)[i],NA),
co = ifelse(grepl(deskryptory650$X650[i],X650),as.character(deskryptory650$X650)[i],NA),
DZ_DZIAL_ID = ifelse(grepl(deskryptory650$X650[i],X650),as.integer(deskryptory650$DZ_DZIAL_ID)[i],NA),
DZ_NAZWA = ifelse(grepl(deskryptory650$X650[i],X650),as.character(deskryptory650$DZ_NAZWA)[i],NA)) %>%
filter(!is.na(redaktor_dzialu))
if (length(do_przedmiotowej3$redaktor_dzialu)>0) {
test <- rbind(test,do_przedmiotowej3)
} else {}
}
count <- as.data.frame(table(test$ZA_UWAGI))
do_przedmiotowej3 <- merge(test,count, by.x = "ZA_UWAGI",by.y = "Var1") %>%
mutate(dlugosc = nchar(co)) %>%
arrange(-Freq,ZA_UWAGI,-dlugosc,-ile)
do_przedmiotowej3$id_grupy <- cumsum(!duplicated(do_przedmiotowej3[1]))
do_przedmiotowej3 <- do_przedmiotowej3[!duplicated(do_przedmiotowej3$id_grupy),] %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(do_przedmiotowej1))
do_przedmiotowej <- rbind(do_przedmiotowej1,do_przedmiotowej2,do_przedmiotowej3)
#przypisanie przedmiotowej na podstawie słownika pojęć
do_przedmiotowej <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
left_join(.,do_przedmiotowej,by="ZA_UWAGI") %>%
#przypisanie na podstawie zdefiniowanych słów (dopisanie do gotowego pliku)
mutate(redaktor_dzialu = ifelse(is.na(redaktor_dzialu),
ifelse(grepl("teatr",X655,ignore.case = TRUE)|grepl("teatr",X650,ignore.case = TRUE),"MARTAK",
ifelse(grepl("film",X655,ignore.case = TRUE)|grepl("film",X650,ignore.case = TRUE),"OLA",
ifelse(grepl("telewizj",X655,ignore.case = TRUE)|grepl("telewizj",X650,ignore.case = TRUE),"EWA",
ifelse(grepl("radio",X655,ignore.case = TRUE)|grepl("radio",X650,ignore.case = TRUE),"EWA",
ifelse(grepl("czasopism",X655,ignore.case = TRUE)|grepl("czasopism",X650,ignore.case = TRUE),"TOMASZ",
ifelse(grepl("wydawnictw",X655,ignore.case = TRUE)|grepl("wydawnictw",X650,ignore.case = TRUE),"BARBARAW",
ifelse(grepl("od 1989",X655,ignore.case = TRUE)|grepl("od 1989",X650,ignore.case = TRUE),"PAULINA",
ifelse(grepl("ćwicze|zadan|szkoł|szkół|scenariusz zajęć|scenariusze zajęć|zajęć|pomocnicz|podręcznik",X655,ignore.case = TRUE)|grepl("ćwicze|zadan|szkoł|szkół|scenariusz zajęć|scenariusze zajęć|zajęć|pomocnicz|podręcznik",X650,ignore.case = TRUE),"KAROLINA",
ifelse(grepl("sceniczn",X655,ignore.case = TRUE)|grepl("sceniczn",X650,ignore.case = TRUE),"MARTAK",
ifelse(grepl("teoria|socjologia|antropologia|metafizyk|interpretac|filozof",X655,ignore.case = TRUE)|grepl("teoria|socjologia|antropologia|metafizyk|interpretac|filozof",X650,ignore.case = TRUE),"PAULINA",
ifelse(grepl("ludow|zwycz|obycz|folkl",X655,ignore.case = TRUE)|grepl("ludow|zwycz|obycz|folkl",X650,ignore.case = TRUE),"ANIA",
ifelse(grepl("katolic|biblia|biblij|kościół",X655,ignore.case = TRUE)|grepl("katolic|biblia|biblij|kościół",X650,ignore.case = TRUE),"BEATAS",
ifelse(grepl("druk|rękopi|inkunab|inwent|bibliogr|słownik|bibliotek",X655,ignore.case = TRUE)|grepl("druk|rękopi|inkunab|inwent|bibliogr|słownik|bibliotek",X650,ignore.case = TRUE),"IZA",
ifelse(grepl("zabawk|dziec",X655,ignore.case = TRUE)|grepl("zabawk|dziec",X650,ignore.case = TRUE),"BARBARAW",
ifelse(grepl("tematyka|20-21 w.|21 w.",X655,ignore.case = TRUE)|grepl("tematyka|20-21 w.|21 w.",X650,ignore.case = TRUE),"PAULINA",
ifelse(grepl("19|18|17|16|15|14|13",X655,ignore.case = TRUE)|grepl("19|18|17|16|15|14|13",X650,ignore.case = TRUE),"GOSIA",
ifelse(grepl("polityk",X655,X655,ignore.case = TRUE)|grepl("polityk",X650,X655,ignore.case = TRUE),"PAULINA",
ifelse(grepl("historia",X655,X655,ignore.case = TRUE)|grepl("historia",X650,X655,ignore.case = TRUE),"GOSIA",NA)))))))))))))))))),as.character(redaktor_dzialu)),
RZ_RODZAJ_ID = ifelse(is.na(RZ_RODZAJ_ID),21,as.integer(RZ_RODZAJ_ID)),
RZ_NAZWA = ifelse(is.na(RZ_NAZWA),"książka w haśle rzeczowym",as.character(RZ_NAZWA))) %>%
select(names(do_przedmiotowej1)) %>%
filter(!is.na(redaktor_dzialu))
#wydobycie zbioru, który ciągle nie ma przypisanych redaktorów do przedmiotowej
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
filter(ZA_UWAGI %notin% do_przedmiotowej$ZA_UWAGI)
#dla książek, które mają kilku autorów w osoba_bn_temat - przypisanie do redaktora powszechnej - BEATAD?
do_przedmiotowej4 <- przedmiotowa_redaktorzy %>%
filter(!is.na(osoba_bn_temat)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
DZ_DZIAL_ID = NA,
DZ_NAZWA = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym",
redaktor_dzialu = "BEATAD") %>%
select(names(do_przedmiotowej1))
#dla książek, które nie mają wypełnionego osoba_bn_autor - przypisanie do Marty z x? czy losowo do kogoś?
do_przedmiotowej5 <- przedmiotowa_redaktorzy %>%
filter(is.na(osoba_bn_autor)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
DZ_DZIAL_ID = NA,
DZ_NAZWA = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym",
redaktor_dzialu = "MARTAKx") %>%
select(names(do_przedmiotowej1))
#połaczenie wszystkich przedmiotowych z przypisanymi redaktorami w jeden plik
do_przedmiotowej <- rbind(do_przedmiotowej,do_przedmiotowej4,do_przedmiotowej5)
#dla książek, które mają wypełnione osoba_bn_autor - zmiana na podmiotową do ręcznego przejrzenia i przypisanie redaktorów
###przypisanie do podmiotowej!!!!!!!!!!!!!!!!!!!###############
do_podmiotowej1 <- przedmiotowa_redaktorzy %>%
filter(!is.na(osoba_bn_autor))
#trzeba zaktualizować w bn_ok, że teraz to są podmiotowe
#lista rekordów do przepisania z przedmiotowej na podmiotową
lista_do_przepisania <- do_podmiotowej1$ZA_UWAGI
bn_ok$rodzaj_ksiazki[bn_ok$ZA_UWAGI %in% lista_do_przepisania] <- "podmiotowa"
#to, co było podmiotową bez autora powinno trafić do literatury anonimowej z pracownikiem przedm, więc teraz trzeba to przepisać do przedmiotowej - na końcu procesu
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa"&X100=="")
#przypisanie literatury anonimowej
#655
marc_field_655 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X655)%>%
filter(X655!="") %>%
mutate(X655=str_replace_all(X655,"(^|\\|)","~\\1")) %>%
cSplit(.,"X655",sep = "~",direction = "long") %>%
filter(X655!="") %>%
mutate(X655=str_remove_all(X655,"^\\|")) %>%
mutate(indicator = str_replace_all(X655,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X655,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_655)[1]))
colnames(empty_table) <-subfield_list
marc_field_655<-cbind(marc_field_655,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_655$X655 <- str_replace(marc_field_655$X655,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_655[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_655$X655),str_replace_all(gsub(string,"\\3",marc_field_655$X655),"\\${2}.", "~"),NA)
}
marc_field_655 <- marc_field_655 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
trim <- function (x) gsub("^\\s+|\\s+$", "", x)
PBL_literatury_anonimowe <- PBL_dzialy_path %>%
filter(grepl("Utwory anonim",DZ_NAZWA)) %>%
select(DZ_DZIAL_ID,DZ_NAZWA,NAD_NAD_DZ_DZIAL_ID) %>%
left_join(.,redaktorzy_dzialow,by = c("NAD_NAD_DZ_DZIAL_ID"="DZ_DZIAL_ID")) %>%
select(1,DZ_NAZWA = 2,5) %>%
filter(DZ_DZIAL_ID %notin% c(1922,1983)) %>%
group_by(DZ_DZIAL_ID) %>%
mutate(nazwa = paste(trim(unlist(str_extract_all(DZ_NAZWA,"(?<=\\()(.*?)(?=\\(|\\))"))),collapse = "|"),
nazwa = str_remove_all(nazwa,"(.)(?=\\||$)"),
nazwa = str_remove(nazwa,"literatur. "),
nazwa = ifelse(nazwa=="","polsk",as.character(nazwa)),
redaktor_dzialu = ifelse(is.na(redaktor_dzialu),"ANIA",as.character(redaktor_dzialu))) %>%
ungroup()
reczne <- data.frame(DZ_DZIAL_ID = c(899,694,694,1174,145,1220),DZ_NAZWA = c("Utwory anonimowe (Indii)","Utwory anonimowe (brytyjska i irlandzka)","Utwory anonimowe (brytyjska i irlandzka)","Utwory anonimowe (starosłowiańska)","Utwory anonimowe i ulotne","Utwory anonimowe (turecka)"), redaktor_dzialu = c("EWA","BEATAK","BEATAK","BEATAD","ANIA","EWA"), nazwa = c("indyjsk","walijsk","angielsk","starorusk","kaszubsk","nogajsk"))
PBL_literatury_anonimowe <- rbind(PBL_literatury_anonimowe,reczne)
marc_field_655 <- sqldf("select *
from marc_field_655 a
left join PBL_literatury_anonimowe b on a.`$a` like ('%'||b.nazwa||'%')") %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_655$same <- cumsum(!duplicated(marc_field_655[1]))
marc_field_655 <- marc_field_655[!duplicated(marc_field_655$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(marc_field_600))
###przypisanie do redaktorów literatury anonimowej na podstawie literatury z pola 650
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa"&X100=="") %>%
filter(ZA_UWAGI %notin% marc_field_655$ZA_UWAGI)
#650
marc_field_650 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X650)%>%
filter(X650!="") %>%
mutate(X650=str_replace_all(X650,"(^|\\|)","~\\1")) %>%
cSplit(.,"X650",sep = "~",direction = "long") %>%
filter(X650!="") %>%
mutate(X650=str_remove_all(X650,"^\\|")) %>%
mutate(indicator = str_replace_all(X650,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X650,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_650)[1]))
colnames(empty_table) <-subfield_list
marc_field_650<-cbind(marc_field_650,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_650$X650 <- str_replace(marc_field_650$X650,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_650[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_650$X650),str_replace_all(gsub(string,"\\3",marc_field_650$X650),"\\${2}.", "~"),NA)
}
marc_field_650 <- marc_field_650 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_650 <- sqldf("select *
from marc_field_650 a
left join PBL_literatury_anonimowe b on a.`$a` like ('%'||b.nazwa||'%')") %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_650$same <- cumsum(!duplicated(marc_field_650[1]))
marc_field_650 <- marc_field_650[!duplicated(marc_field_650$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(marc_field_600))
do_podmiotowej1 <- rbind(marc_field_655,marc_field_650)
#co zrobić z pozostałymi podmiotowymi anonimowymi, których nie udało się przypisać?
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa"&X100=="") %>%
filter(ZA_UWAGI %notin% do_podmiotowej1$ZA_UWAGI) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
DZ_DZIAL_ID = NA,
DZ_NAZWA = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym",
redaktor_dzialu = "KAROLINA") %>%
select(names(do_przedmiotowej1))
do_podmiotowej1 <- rbind(do_podmiotowej1,podmiotowa_redaktorzy)
#lista rekordów do przepisania z podmiotowej na przedmiotową (chodzi o literaturę anonimową)
lista_do_przepisania <- do_podmiotowej1$ZA_UWAGI
bn_ok$rodzaj_ksiazki[bn_ok$ZA_UWAGI %in% lista_do_przepisania] <- "przedmiotowa"
#przetworzenie całej podmiotowej (bo plik do_podmiotowej1 już jest w środku)
###przypisanie redaktora na podstawie osoby z 100 jako twórcy (autora) (tabela pbl-bn-viaf)- książki twórcy
#100
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
filter(ZA_UWAGI %notin% do_podmiotowej1$ZA_UWAGI)
marc_field_100 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}
marc_field_100 <- marc_field_100 %>%
select(ZA_UWAGI,`$a`,`$d`,`$c`) %>%
mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
select(ZA_UWAGI,name) %>%
mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1")) %>%
group_by(ZA_UWAGI) %>%
mutate(name = paste(name,collapse = "|")) %>%
ungroup() %>%
unique()
do_podmiotowej2 <- marc_field_100 %>%
unique() %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
inner_join(.,PBL_tworcy,by = c("pbl_id"="TW_TWORCA_ID")) %>%
left_join(.,redaktorzy_dzialow,by = c("TW_DZ_DZIAL_ID"="DZ_DZIAL_ID")) %>%
select(ZA_UWAGI,TW_TWORCA_ID=pbl_id,TW_NAZWISKO,TW_IMIE,DZ_DZIAL_ID=TW_DZ_DZIAL_ID,DZ_NAZWA=DZ_NAZWA.x,redaktor_dzialu) %>%
mutate(RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
unique()
###przypisanie redaktora na podstawie zbieżności fraz nazewnictwa osoby z 100 z twórcą pbl (dla tych, które nie zostały zmapowane na linii pbl-bn) - książki twórcy
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
filter(ZA_UWAGI %notin% do_podmiotowej1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej2$ZA_UWAGI)
#100
marc_field_100 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}
do_podmiotowej3 <- marc_field_100 %>%
select(ZA_UWAGI,`$a`) %>%
unique() %>%
mutate(`$a` = str_remove(`$a`,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)")) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(`$a`,collapse = "|")) %>%
ungroup() %>%
unique() %>%
mutate(TW_NAZWISKO = ifelse(grepl("\\|",`$a`), str_replace_all(str_remove_all(`$a`,","),"\\|",", "),
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\1"),as.character(`$a`))),
TW_IMIE = ifelse(grepl("\\|",`$a`),"*",
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\3"),"*")),
nazwa = str_replace_all(str_to_lower(paste(TW_NAZWISKO,TW_IMIE,sep = "")), "\\W", "")) %>%
select(ZA_UWAGI,TW_NAZWISKO,TW_IMIE,nazwa) %>%
inner_join(.,PBL_tworcy_podm %>% select(TW_TWORCA_ID,DZ_DZIAL_ID=TW_DZ_DZIAL_ID,DZ_NAZWA,nazwa),by="nazwa")
do_podmiotowej3$same <- cumsum(!duplicated(do_podmiotowej3[1:4]))
do_podmiotowej3 <- do_podmiotowej3 %>%
arrange(ZA_UWAGI,TW_NAZWISKO,TW_IMIE,nazwa,TW_TWORCA_ID)
do_podmiotowej3 <- do_podmiotowej3[!duplicated(do_podmiotowej3$same),] %>%
mutate(DZ_DZIAL_ID = as.integer(DZ_DZIAL_ID),
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
inner_join(.,redaktorzy_dzialow %>% select(DZ_DZIAL_ID,redaktor_dzialu),by="DZ_DZIAL_ID") %>%
select(names(do_podmiotowej1))
###przypisanie autorów podmiotowej do literatur i przypisanie do redaktorów na podstawie kodu literatury z pola X080 i tworzenie nowych twórców na podstawie pola 100
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
filter(ZA_UWAGI %notin% do_podmiotowej1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej3$ZA_UWAGI)
podmiotowa_redaktorzy <- sqldf("select *
from podmiotowa_redaktorzy a
join BN_PBL_lista_literatur b on a.X080 like ('%'||b.ukd_ogolne||'%')")
###dodawanie nazewnictw nowych twórców
#100
marc_field_100 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}
marc_field_100 <- marc_field_100 %>%
select(ZA_UWAGI,`$a`) %>%
unique() %>%
mutate(`$a` = str_remove(`$a`,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)")) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(`$a`,collapse = "|")) %>%
ungroup() %>%
unique() %>%
mutate(TW_NAZWISKO = ifelse(grepl("\\|",`$a`), str_replace_all(str_remove_all(`$a`,","),"\\|",", "),
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\1"),as.character(`$a`))),
TW_IMIE = ifelse(grepl("\\|",`$a`),"*",
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\3"),"*"))) %>%
select(ZA_UWAGI,TW_NAZWISKO,TW_IMIE)
#join na podstawie identycznego id
podmiotowa_redaktorzy <- podmiotowa_redaktorzy %>%
left_join(.,marc_field_100,by="ZA_UWAGI") %>%
mutate(pbl_nazwa = as.character(pbl_nazwa)) %>%
mutate(DZ_DZIAL_ID = ifelse(nazwa_prosta=="polsk"&substr(pbl_nazwa,nchar(pbl_nazwa),nchar(pbl_nazwa))!=substr(TW_NAZWISKO,1,1),NA,as.integer(pbl_id))) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
count <- as.data.frame(table(podmiotowa_redaktorzy$ZA_UWAGI))
podmiotowa_redaktorzy <- merge(podmiotowa_redaktorzy,count,by.x = "ZA_UWAGI",by.y = "Var1") %>%
mutate(dlugosc = nchar(ukd_ogolne)) %>%
arrange(-Freq,ZA_UWAGI,-dlugosc,pbl_id)
podmiotowa_redaktorzy$same <- cumsum(!duplicated(podmiotowa_redaktorzy[1]))
do_podmiotowej4 <- podmiotowa_redaktorzy[!duplicated(podmiotowa_redaktorzy$same),] %>%
mutate(TW_TWORCA_ID = NA) %>%
rename(DZ_NAZWA = pbl_nazwa) %>%
select(ZA_UWAGI,TW_TWORCA_ID,TW_NAZWISKO,TW_IMIE,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
mutate(RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)")
###przypisanie autorów podmiotowej do literatur i przypisanie do redaktorów na podstawie literatury z pola 655 i tworzenie nowych twórców na podstawie pola 100
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
filter(ZA_UWAGI %notin% do_podmiotowej1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej3$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej4$ZA_UWAGI)
#655
marc_field_655 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X655)%>%
filter(X655!="") %>%
mutate(X655=str_replace_all(X655,"(^|\\|)","~\\1")) %>%
cSplit(.,"X655",sep = "~",direction = "long") %>%
filter(X655!="") %>%
mutate(X655=str_remove_all(X655,"^\\|")) %>%
mutate(indicator = str_replace_all(X655,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X655,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_655)[1]))
colnames(empty_table) <-subfield_list
marc_field_655<-cbind(marc_field_655,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_655$X655 <- str_replace(marc_field_655$X655,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_655[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_655$X655),str_replace_all(gsub(string,"\\3",marc_field_655$X655),"\\${2}.", "~"),NA)
}
marc_field_655 <- marc_field_655 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_655 <- sqldf("select *
from marc_field_655 a
left join PBL_hasla_osobowe b on a.`$a` like ('%'||b.nazwa||'%')")
###dodawanie nazewnictw nowych twórców
#100
marc_field_100 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}
marc_field_100 <- marc_field_100 %>%
select(ZA_UWAGI,`$a`) %>%
unique() %>%
mutate(`$a` = str_remove(`$a`,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)")) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(`$a`,collapse = "|")) %>%
ungroup() %>%
unique() %>%
mutate(TW_NAZWISKO = ifelse(grepl("\\|",`$a`), str_replace_all(str_remove_all(`$a`,","),"\\|",", "),
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\1"),as.character(`$a`))),
TW_IMIE = ifelse(grepl("\\|",`$a`),"*",
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\3"),"*"))) %>%
select(ZA_UWAGI,TW_NAZWISKO,TW_IMIE)
#join na podstawie identycznego id
marc_field_655 <- marc_field_655 %>%
left_join(.,marc_field_100,by="ZA_UWAGI") %>%
mutate(DZ_DZIAL_ID = ifelse(nazwa=="polsk"&substr(DZ_NAZWA,nchar(DZ_NAZWA),nchar(DZ_NAZWA))!=substr(TW_NAZWISKO,1,1),NA,as.integer(DZ_DZIAL_ID))) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_655$same <- cumsum(!duplicated(marc_field_655[1]))
do_podmiotowej5 <- marc_field_655[!duplicated(marc_field_655$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,TW_NAZWISKO,TW_IMIE,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
select(names(marc_field_600))
###przypisanie autorów podmiotowej do literatur i przypisanie do redaktorów na podstawie literatury z pola 655 i tworzenie nowych twórców na podstawie pola 100
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
filter(ZA_UWAGI %notin% do_podmiotowej1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej3$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej4$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej5$ZA_UWAGI)
#650
marc_field_650 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X650)%>%
filter(X650!="") %>%
mutate(X650=str_replace_all(X650,"(^|\\|)","~\\1")) %>%
cSplit(.,"X650",sep = "~",direction = "long") %>%
filter(X650!="") %>%
mutate(X650=str_remove_all(X650,"^\\|")) %>%
mutate(indicator = str_replace_all(X650,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X650,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_650)[1]))
colnames(empty_table) <-subfield_list
marc_field_650<-cbind(marc_field_650,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_650$X650 <- str_replace(marc_field_650$X650,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_650[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_650$X650),str_replace_all(gsub(string,"\\3",marc_field_650$X650),"\\${2}.", "~"),NA)
}
marc_field_650 <- marc_field_650 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_650 <- sqldf("select *
from marc_field_650 a
left join PBL_hasla_osobowe b on a.`$a` like ('%'||b.nazwa||'%')") %>%
left_join(.,marc_field_100,by="ZA_UWAGI") %>%
mutate(DZ_DZIAL_ID = ifelse(nazwa=="polsk"&substr(DZ_NAZWA,nchar(DZ_NAZWA),nchar(DZ_NAZWA))!=substr(TW_NAZWISKO,1,1),NA,as.integer(DZ_DZIAL_ID))) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_650$same <- cumsum(!duplicated(marc_field_650[1]))
do_podmiotowej6 <- marc_field_650[!duplicated(marc_field_650$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,TW_NAZWISKO,TW_IMIE,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
select(names(marc_field_600))
#co zostało do podmiotowej?
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
filter(ZA_UWAGI %notin% do_podmiotowej1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej3$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej4$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej5$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej6$ZA_UWAGI)
#naddatek przypisać Marcie jako podmiotową bez twórców i czy_automatycznie <- nie
do_podmiotowej7 <- podmiotowa_redaktorzy %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
DZ_DZIAL_ID = NA,
DZ_NAZWA = NA,
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)",
redaktor_dzialu = "MARTAKx") %>%
select(names(do_podmiotowej5))
#trzeba zaktualizować w bn_ok, że teraz to nie są automatyczne
lista_do_przepisania <- do_podmiotowej7$ZA_UWAGI
bn_ok$czy_automatycznie[bn_ok$ZA_UWAGI %in% lista_do_przepisania] <- "nie"
#połączenie przydziału podmiotowych w jeden plik
do_podmiotowej <- rbind(do_podmiotowej1,do_podmiotowej2,do_podmiotowej3,do_podmiotowej4,do_podmiotowej5,do_podmiotowej6,do_podmiotowej7)
#przypisanie antologii do Tomka i do literatur na podstawie 080
antologie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki == "antologia")
PBL_dzialy_antologie <- PBL_dzialy_path %>%
filter(grepl("antolog",DZ_NAZWA,ignore.case = TRUE)) %>%
left_join(.,redaktorzy_dzialow,by="DZ_DZIAL_ID") %>%
select(DZ_DZIAL_ID,DZ_NAZWA=DZ_NAZWA.x,redaktor_dzialu) %>%
mutate(redaktor_dzialu = ifelse(is.na(redaktor_dzialu),"TOMASZ",as.character(redaktor_dzialu)))
PBL_dzialy_antologie <- sqldf("select *
from PBL_dzialy_antologie a
left join (select c.ukd_ogolne,c.nazwa_prosta,c.pbl_id,c.pbl_nazwa,c.pbl_id_literatury,c.pbl_literatura from BN_PBL_lista_literatur c) b on a.DZ_NAZWA like ('%'||b.nazwa_prosta||'%')") %>%
mutate(ukd_ogolne = ifelse(DZ_DZIAL_ID==146,"821.162.1",as.character(ukd_ogolne)),
nazwa_prosta = ifelse(DZ_DZIAL_ID==146,"polsk",as.character(nazwa_prosta))) %>%
filter(!is.na(ukd_ogolne)) %>%
filter(DZ_DZIAL_ID!=744) %>%
select(1:5)
antologie_redaktorzy <- sqldf("select *
from antologie_redaktorzy a
join PBL_dzialy_antologie b on a.X080 like ('%'||b.ukd_ogolne||'%')")
count <- as.data.frame(table(antologie_redaktorzy$ZA_UWAGI))
antologie_redaktorzy <- merge(antologie_redaktorzy,count,by.x = "ZA_UWAGI",by.y = "Var1") %>%
mutate(dlugosc = nchar(ukd_ogolne)) %>%
arrange(-Freq,ZA_UWAGI,-dlugosc,DZ_DZIAL_ID)
antologie_redaktorzy$same <- cumsum(!duplicated(antologie_redaktorzy[1]))
do_antologii1 <- antologie_redaktorzy[!duplicated(antologie_redaktorzy$same),] %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA) %>%
select(ZA_UWAGI,TW_TWORCA_ID,TW_NAZWISKO,TW_IMIE,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
mutate(RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym")
#przypisanie antologii do Tomka i do literatur na podstawie 665
antologie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki == "antologia") %>%
filter(ZA_UWAGI %notin% do_antologii1$ZA_UWAGI)
marc_field_655 <- antologie_redaktorzy %>%
select(ZA_UWAGI,X655)%>%
filter(X655!="") %>%
mutate(X655=str_replace_all(X655,"(^|\\|)","~\\1")) %>%
cSplit(.,"X655",sep = "~",direction = "long") %>%
filter(X655!="") %>%
mutate(X655=str_remove_all(X655,"^\\|")) %>%
mutate(indicator = str_replace_all(X655,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(antologie_redaktorzy$X655,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_655)[1]))
colnames(empty_table) <-subfield_list
marc_field_655<-cbind(marc_field_655,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_655$X655 <- str_replace(marc_field_655$X655,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_655[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_655$X655),str_replace_all(gsub(string,"\\3",marc_field_655$X655),"\\${2}.", "~"),NA)
}
marc_field_655 <- marc_field_655 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_655 <- sqldf("select *
from marc_field_655 a
left join PBL_dzialy_antologie b on a.`$a` like ('%'||b.nazwa_prosta||'%')") %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_655$same <- cumsum(!duplicated(marc_field_655[1]))
do_antologii2 <- marc_field_655[!duplicated(marc_field_655$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(do_antologii1))
#przypisanie antologii do Tomka i do literatur na podstawie 665
antologie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki == "antologia") %>%
filter(ZA_UWAGI %notin% do_antologii1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_antologii2$ZA_UWAGI)
marc_field_650 <- antologie_redaktorzy %>%
select(ZA_UWAGI,X650)%>%
filter(X650!="") %>%
mutate(X650=str_replace_all(X650,"(^|\\|)","~\\1")) %>%
cSplit(.,"X650",sep = "~",direction = "long") %>%
filter(X650!="") %>%
mutate(X650=str_remove_all(X650,"^\\|")) %>%
mutate(indicator = str_replace_all(X650,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(antologie_redaktorzy$X650,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_650)[1]))
colnames(empty_table) <-subfield_list
marc_field_650<-cbind(marc_field_650,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_650$X650 <- str_replace(marc_field_650$X650,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_650[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_650$X650),str_replace_all(gsub(string,"\\3",marc_field_650$X650),"\\${2}.", "~"),NA)
}
marc_field_650 <- marc_field_650 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_650 <- sqldf("select *
from marc_field_650 a
left join PBL_dzialy_antologie b on a.`$a` like ('%'||b.nazwa_prosta||'%')") %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_650$same <- cumsum(!duplicated(marc_field_650[1]))
do_antologii3 <- marc_field_650[!duplicated(marc_field_650$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(do_antologii1))
#reszta antologii bez działu po prostu przypisana do Tomka
antologie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki == "antologia") %>%
filter(ZA_UWAGI %notin% do_antologii1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_antologii2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_antologii3$ZA_UWAGI)
do_antologii4 <- antologie_redaktorzy %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
DZ_DZIAL_ID = NA,
DZ_NAZWA = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym",
redaktor_dzialu = "TOMASZ") %>%
select(names(do_antologii1))
do_antologii <- rbind(do_antologii1,do_antologii2,do_antologii3,do_antologii4)
###przypisanie redaktora do współwydań na podstawie osoby z 245 jako twórcy (autora) (tabela pbl-bn-viaf)- książki twórcy
wspolwydanie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="współwydanie")
do_wspolwydania1 <- wspolwydanie_redaktorzy %>%
select(ZA_UWAGI,X245) %>%
mutate(X245 = str_extract(X245, "(?<=\\/\\$c)(.*?)(?= ;|$)"),
X245 = str_remove(X245,"\\.$"),
X245 = str_remove(X245,"\\["),
X245 = str_remove(X245,"\\]"),
nazwisko = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),as.character(X245),str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\3")),
imie = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),"*",str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\1")),
name = paste(nazwisko,imie,sep = ", ")) %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
left_join(.,PBL_tworcy,by = c("pbl_id"="TW_TWORCA_ID")) %>%
left_join(.,redaktorzy_dzialow,by = c("TW_DZ_DZIAL_ID"="DZ_DZIAL_ID")) %>%
select(ZA_UWAGI,TW_TWORCA_ID=pbl_id,TW_NAZWISKO,TW_IMIE,DZ_DZIAL_ID=TW_DZ_DZIAL_ID,DZ_NAZWA=DZ_NAZWA.x,redaktor_dzialu) %>%
mutate(RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
unique()
###przypisanie redaktora na podstawie zbieżności fraz nazewnictwa osoby z 245 z twórcą pbl (dla tych, które nie zostały zmapowane na linii pbl-bn) - książki twórcy
wspolwydanie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="współwydanie") %>%
filter(ZA_UWAGI %notin% do_wspolwydania1$ZA_UWAGI)
do_wspolwydania2 <- wspolwydanie_redaktorzy %>%
select(ZA_UWAGI,X245) %>%
mutate(X245 = str_extract(X245, "(?<=\\/\\$c)(.*?)(?= ;|$)"),
X245 = str_remove(X245,"\\.$"),
X245 = str_remove(X245,"\\["),
X245 = str_remove(X245,"\\]"),
nazwisko = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),as.character(X245),str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\3")),
imie = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),"*",str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\1")),
name = paste(nazwisko,imie,sep = ", "),
nazwa = str_replace_all(str_to_lower(name), "\\W", "")) %>%
inner_join(.,PBL_tworcy_podm %>% select(TW_TWORCA_ID,TW_NAZWISKO,TW_IMIE,DZ_DZIAL_ID=TW_DZ_DZIAL_ID,DZ_NAZWA,nazwa),by="nazwa")
do_wspolwydania2$same <- cumsum(!duplicated(do_wspolwydania2[1:4]))
do_wspolwydania2 <- do_wspolwydania2 %>%
arrange(ZA_UWAGI,nazwisko,imie,nazwa,TW_TWORCA_ID)
do_wspolwydania2 <- do_wspolwydania2[!duplicated(do_wspolwydania2$same),] %>%
mutate(DZ_DZIAL_ID = as.integer(DZ_DZIAL_ID),
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
inner_join(.,redaktorzy_dzialow %>% select(DZ_DZIAL_ID,redaktor_dzialu),by="DZ_DZIAL_ID") %>%
select(names(do_wspolwydania1))
###przypisanie autorów podmiotowej do literatur i przypisanie do redaktorów na podstawie kodu literatury z pola X080 i tworzenie nowych twórców na podstawie pola 245
wspolwydanie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="współwydanie") %>%
filter(ZA_UWAGI %notin% do_wspolwydania1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania2$ZA_UWAGI)
wspolwydanie_redaktorzy <- sqldf("select *
from wspolwydanie_redaktorzy a
join BN_PBL_lista_literatur b on a.X080 like ('%'||b.ukd_ogolne||'%')")
do_wspolwydania3 <- wspolwydanie_redaktorzy %>%
select(ZA_UWAGI,X245,pbl_id,pbl_nazwa,redaktor_dzialu,pbl_id_literatury,pbl_literatura,nazwa_prosta,ukd_ogolne) %>%
mutate(X245 = str_extract(X245, "(?<=\\/\\$c)(.*?)(?= ;|$)"),
X245 = str_remove(X245,"\\.$"),
X245 = str_remove(X245,"\\["),
X245 = str_remove(X245,"\\]"),
nazwisko = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),as.character(X245),str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\3")),
imie = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),"*",str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\1")),
name = paste(nazwisko,imie,sep = ", ")) %>%
mutate(pbl_nazwa = as.character(pbl_nazwa)) %>%
mutate(DZ_DZIAL_ID = ifelse(nazwa_prosta=="polsk"&substr(pbl_nazwa,nchar(pbl_nazwa),nchar(pbl_nazwa))!=substr(nazwisko,1,1),NA,as.integer(pbl_id))) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
count <- as.data.frame(table(do_wspolwydania3$ZA_UWAGI))
do_wspolwydania3 <- merge(do_wspolwydania3,count,by.x = "ZA_UWAGI",by.y = "Var1") %>%
mutate(dlugosc = nchar(ukd_ogolne)) %>%
arrange(-Freq,ZA_UWAGI,-dlugosc,pbl_id)
do_wspolwydania3$same <- cumsum(!duplicated(do_wspolwydania3[1]))
do_wspolwydania3 <- do_wspolwydania3[!duplicated(do_wspolwydania3$same),] %>%
mutate(TW_TWORCA_ID = NA) %>%
rename(DZ_NAZWA = pbl_nazwa,
TW_NAZWISKO = nazwisko,
TW_IMIE = imie) %>%
select(ZA_UWAGI,TW_TWORCA_ID,TW_NAZWISKO,TW_IMIE,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
mutate(RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)")
###przypisanie autorów podmiotowej do literatur i przypisanie do redaktorów na podstawie literatury z pola 655 i tworzenie nowych twórców na podstawie pola 245
wspolwydanie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="współwydanie") %>%
filter(ZA_UWAGI %notin% do_wspolwydania1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania3$ZA_UWAGI)
#655
marc_field_655 <- wspolwydanie_redaktorzy %>%
select(ZA_UWAGI,X655)%>%
filter(X655!="") %>%
mutate(X655=str_replace_all(X655,"(^|\\|)","~\\1")) %>%
cSplit(.,"X655",sep = "~",direction = "long") %>%
filter(X655!="") %>%
mutate(X655=str_remove_all(X655,"^\\|")) %>%
mutate(indicator = str_replace_all(X655,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(wspolwydanie_redaktorzy$X655,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_655)[1]))
colnames(empty_table) <-subfield_list
marc_field_655<-cbind(marc_field_655,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_655$X655 <- str_replace(marc_field_655$X655,subfield_list_char[i],"|\\1")
}
if (nrow(marc_field_655)>0) {
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_655[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_655$X655),str_replace_all(gsub(string,"\\3",marc_field_655$X655),"\\${2}.", "~"),NA)
}
marc_field_655 <- marc_field_655 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_655 <- sqldf("select *
from marc_field_655 a
left join PBL_hasla_osobowe b on a.`$a` like ('%'||b.nazwa||'%')")
###dodawanie nazewnictw nowych twórców na podstawie 245
marc_field_245 <- wspolwydanie_redaktorzy %>%
select(ZA_UWAGI,X245) %>%
mutate(X245 = str_extract(X245, "(?<=\\/\\$c)(.*?)(?= ;|$)"),
X245 = str_remove(X245,"\\.$"),
X245 = str_remove(X245,"\\["),
X245 = str_remove(X245,"\\]"),
nazwisko = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),as.character(X245),str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\3")),
imie = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),"*",str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\1")),
name = paste(nazwisko,imie,sep = ", "))
#join na podstawie identycznego id
marc_field_655 <- marc_field_655 %>%
left_join(.,marc_field_245,by="ZA_UWAGI") %>%
mutate(DZ_DZIAL_ID = ifelse(nazwa=="polsk"&substr(DZ_NAZWA,nchar(DZ_NAZWA),nchar(DZ_NAZWA))!=substr(nazwisko,1,1),NA,as.integer(DZ_DZIAL_ID))) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_655$same <- cumsum(!duplicated(marc_field_655[1]))
do_wspolwydania4 <- marc_field_655[!duplicated(marc_field_655$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,TW_NAZWISKO=nazwisko,TW_IMIE=imie,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
select(names(do_wspolwydania3))
} else {
marc_field_245 <- wspolwydanie_redaktorzy %>%
select(ZA_UWAGI,X245) %>%
mutate(X245 = str_extract(X245, "(?<=\\/\\$c)(.*?)(?= ;|$)"),
X245 = str_remove(X245,"\\.$"),
X245 = str_remove(X245,"\\["),
X245 = str_remove(X245,"\\]"),
nazwisko = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),as.character(X245),str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\3")),
imie = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),"*",str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\1")),
name = paste(nazwisko,imie,sep = ", "))
do_wspolwydania4 <- data.frame(stringsAsFactors = FALSE)
}
###przypisanie autorów podmiotowej do literatur i przypisanie do redaktorów na podstawie literatury z pola 650 i tworzenie nowych twórców na podstawie pola 245
wspolwydanie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="współwydanie") %>%
filter(ZA_UWAGI %notin% do_wspolwydania1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania3$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania4$ZA_UWAGI)
#650
if (max(nchar(wspolwydanie_redaktorzy$X650))>0) {
marc_field_650 <- wspolwydanie_redaktorzy %>%
select(ZA_UWAGI,X650)%>%
filter(X650!="") %>%
mutate(X650=str_replace_all(X650,"(^|\\|)","~\\1")) %>%
cSplit(.,"X650",sep = "~",direction = "long") %>%
filter(X650!="") %>%
mutate(X650=str_remove_all(X650,"^\\|")) %>%
mutate(indicator = str_replace_all(X650,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(wspolwydanie_redaktorzy$X650,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_650)[1]))
colnames(empty_table) <-subfield_list
marc_field_650<-cbind(marc_field_650,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_650$X650 <- str_replace(marc_field_650$X650,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_650[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_650$X650),str_replace_all(gsub(string,"\\3",marc_field_650$X650),"\\${2}.", "~"),NA)
}
marc_field_650 <- marc_field_650 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_650 <- sqldf("select *
from marc_field_650 a
left join PBL_hasla_osobowe b on a.`$a` like ('%'||b.nazwa||'%')") %>%
left_join(.,marc_field_245,by="ZA_UWAGI") %>%
mutate(DZ_DZIAL_ID = ifelse(nazwa=="polsk"&substr(DZ_NAZWA,nchar(DZ_NAZWA),nchar(DZ_NAZWA))!=substr(nazwisko,1,1),NA,as.integer(DZ_DZIAL_ID))) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_650$same <- cumsum(!duplicated(marc_field_650[1]))
do_wspolwydania5 <- marc_field_650[!duplicated(marc_field_650$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,TW_NAZWISKO=nazwisko,TW_IMIE=imie,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
select(names(do_wspolwydania4))
} else {
do_wspolwydania5 <- do_wspolwydania1[0,]
}
#co zostało do współwydania?
wspolwydanie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="współwydanie") %>%
filter(ZA_UWAGI %notin% do_wspolwydania1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania3$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania4$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania5$ZA_UWAGI)
#naddatek przypisać Marcie jako podmiotową bez twórców i czy_automatycznie <- nie
do_wspolwydania6 <- wspolwydanie_redaktorzy %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
DZ_DZIAL_ID = NA,
DZ_NAZWA = NA,
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)",
redaktor_dzialu = "MARTAKx") %>%
select(names(do_wspolwydania5))
#trzeba zaktualizować w bn_ok, że teraz to nie są automatyczne
lista_do_przepisania <- do_wspolwydania6$ZA_UWAGI
bn_ok$czy_automatycznie[bn_ok$ZA_UWAGI %in% lista_do_przepisania] <- "nie"
#połączenie przydziału współwydań w jeden plik
do_wspolwydania <- rbind(do_wspolwydania1,do_wspolwydania2,do_wspolwydania3,do_wspolwydania4,do_wspolwydania5,do_wspolwydania6)
#połączenie przydziałów w jeden plik (z wykluczeniem współwydania, bo ono idzie po za_uwagi)
redaktorzy_zapisow <- rbind(do_podmiotowej,do_przedmiotowej,do_antologii,do_wspolwydania)
#połączenie przypisania ze zbiorem
bn_ok <- bn_ok %>%
left_join(.,redaktorzy_zapisow,by="ZA_UWAGI") %>%
mutate(redaktor_dzialu = ifelse(is.na(DZ_NAZWA),as.character(redaktor_dzialu),
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - B","PAULINA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - G","MARTAK",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - L","BEATAK",
ifelse(DZ_NAZWA=="Literatura współczesna (utwory anonimowe i ulotne)","ANIA",
ifelse(DZ_NAZWA=="Utwory anonimowe i ulotne","ANIA",
ifelse(DZ_NAZWA=="Utwory anonimowe i ulotne (epoka nieznana)","ANIA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - N","GOSIA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - O","IZA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - Q","IZA",
ifelse(DZ_NAZWA=="Literatura brytyjska i irlandzka","EWA",
ifelse(DZ_NAZWA=="Utwory anonimowe (brytyjska i irlandzka)","EWA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - U","PAULINA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - X","PAULINA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - V","PAULINA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - Y","PAULINA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - C","GOSIA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - D","GOSIA",as.character(redaktor_dzialu))))))))))))))))))))
#ujednolicenie literatury dla kilku zapisów nowego twórcy
kilka_literatur_nowego_tworcy <- bn_ok %>%
select(id,TW_TWORCA_ID,TW_NAZWISKO,TW_IMIE,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(is.na(TW_TWORCA_ID)&!is.na(TW_NAZWISKO)) %>%
select(-TW_TWORCA_ID) %>%
arrange(TW_NAZWISKO,TW_IMIE) %>%
group_by_at(vars(2:3)) %>%
mutate(unikatowy_dzial = paste(unique(DZ_DZIAL_ID),collapse = "|"),
DZ_DZIAL_ID = paste(DZ_DZIAL_ID,collapse = "|"),
DZ_NAZWA = paste(DZ_NAZWA,collapse = "|"),
redaktor_dzialu = paste(redaktor_dzialu,collapse = "|"),
id = paste(id,collapse = "|")) %>%
ungroup() %>%
unique() %>%
filter(grepl("\\|",unikatowy_dzial)) %>%
select(-unikatowy_dzial)
if(nrow(kilka_literatur_nowego_tworcy)>0) {
kilka_literatur_nowego_tworcy <- kilka_literatur_nowego_tworcy %>%
mutate(id_grupy = 1:nrow(.)) %>%
cSplit(.,c("id","DZ_DZIAL_ID","DZ_NAZWA","redaktor_dzialu"),sep = "|",direction = "long")
kilka_literatur_nowego_tworcy[,2:7][duplicated(kilka_literatur_nowego_tworcy$id_grupy),] <- NA
kilka_literatur_nowego_tworcy <- fill_(kilka_literatur_nowego_tworcy, names(kilka_literatur_nowego_tworcy))
#zaktualizowanie zbioru podmiotowych o ujednolicone działy dla nowych twórców
x <- 1:length(kilka_literatur_nowego_tworcy$id)
for (i in x) {
progress(match(i,x), max.value = length(x))
bn_ok$DZ_DZIAL_ID[bn_ok$id==kilka_literatur_nowego_tworcy$id[i]] <- kilka_literatur_nowego_tworcy$DZ_DZIAL_ID[i]
bn_ok$DZ_NAZWA[bn_ok$id==kilka_literatur_nowego_tworcy$id[i]] <- as.character(kilka_literatur_nowego_tworcy$DZ_NAZWA)[i]
bn_ok$redaktor_dzialu[bn_ok$id==kilka_literatur_nowego_tworcy$id[i]] <- as.character(kilka_literatur_nowego_tworcy$redaktor_dzialu)[i]
}
}
#jeśli nie ma działu lub rodzaju zapisu, to wpisać id i nazwę do ustalenia
bn_ok <- bn_ok %>%
mutate(DZ_DZIAL_ID =ifelse(is.na(DZ_DZIAL_ID),0,as.integer(DZ_DZIAL_ID)),
DZ_NAZWA = ifelse(is.na(DZ_NAZWA),"-- do ustalenia --",as.character(DZ_NAZWA)),
RZ_RODZAJ_ID =ifelse(is.na(RZ_RODZAJ_ID),0,as.integer(RZ_RODZAJ_ID)),
RZ_NAZWA = ifelse(is.na(RZ_NAZWA),"-- do ustalenia --",as.character(RZ_NAZWA)))
#usunięcie nadwyżki z książek z działów IH
slowniki_jezykowe_zle <- bn_ok %>%
filter(DZ_NAZWA=="Słowniki językowe") %>%
filter(!grepl("słownik",X655,ignore.case = TRUE))
slowniki_biograficzne_zle <- bn_ok %>%
filter(DZ_NAZWA=="Słowniki biograficzne") %>%
filter(!(grepl("Słownik biograficzny|Biografia",X655)&(grepl("pisarz|litera|aktor|scenograf|nauczyciel|akademi|nauk|filolog|kryty|lit\\.",X655,ignore.case = TRUE)|grepl("pisarz|litera|aktor|scenograf|nauczyciel|akademi|nauk|filolog|kryty|lit\\.",X650,ignore.case = TRUE))))
bn_ok <- bn_ok %>%
filter(ZA_UWAGI %notin% slowniki_jezykowe_zle$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% slowniki_biograficzne_zle$ZA_UWAGI)
chunk11 <- bn_ok#bezpiecznik - sprawdź, czy rozkład jest niekontrowersyjny
#bez automatu
bn_ok <- chunk11
count <- as.data.frame(table(bn_ok$redaktor_dzialu,bn_ok$czy_automatycznie)) %>%
filter(Var2=="nie") %>%
arrange(-Freq)
#ile książek ma automat
count2 <- as.data.frame(table(bn_ok$czy_automatycznie))
#realne statystyki po podmiotowej
# test <- bn_ok %>%
# left_join(out %>% select(rekord_BN,pracownik),by=c("ZA_UWAGI"="rekord_BN")) %>%
# mutate(pracownik = ifelse(is.na(pracownik),as.character(redaktor_dzialu),as.character(pracownik)),
# pracownik = str_replace(pracownik,"(^.*?)(\\_.*$)","\\1"))
#
# count3 <- as.data.frame(table(test$pracownik)) %>%
# arrange(-Freq)
#
# count4 <- as.data.frame(table(test$pracownik,test$DZ_NAZWA)) %>%
# filter(Var1=="EWA"&Freq>0) %>%
# arrange(-Freq)bn_ok <- chunk11
data <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
mutate(redaktor_dzialu = paste(redaktor_dzialu,"_podm",sep = ""))
#uwolnienie kolumn z danymi z bn i przetworzenie do PBL
#1: za_uwagi, rz_nazwa, za_ro_rok, za_type, rz_rodzaj_id, tw_tworca_id, tw_nazwisko, tw_imie, dz_dzial_id, dz_nazwa, redaktor_dzialu
pola_pbl <- data %>%
select(ZA_UWAGI, RZ_NAZWA, ZA_RO_ROK = rok, RZ_RODZAJ_ID, TW_TWORCA_ID, TW_NAZWISKO, TW_IMIE, DZ_DZIAL_ID, DZ_NAZWA, redaktor_dzialu) %>%
mutate(ZA_TYPE = "KS")
#2: autor
BN_autor <- data %>%
select(X100,X245,ZA_UWAGI)
#pole 100
marc_field_100 <- BN_autor %>%
select(ZA_UWAGI,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(BN_autor$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 #pole 245
marc_field_245 <- BN_autor %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(BN_autor$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 if("$b" %in% colnames(marc_field_100)==TRUE) {
BN_autor <- marc_field_100 %>%
select(ZA_UWAGI,`$a`,`$b`) %>%
unique() %>%
mutate(`$a` = ifelse(!is.na(`$b`),paste(`$a`,`$b`,sep = " "),as.character(`$a`))) %>%
mutate(`$a` = str_remove(`$a`,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)")) %>%
unique() %>%
mutate(AM_NAZWISKO = ifelse(grepl("\\|",`$a`), str_replace_all(str_remove_all(`$a`,","),"\\|",", "),
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\1"),as.character(`$a`))),
AM_IMIE = ifelse(grepl("\\|",`$a`),"*",
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\3"),"*"))) %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE) %>%
left_join(.,marc_field_245,by="ZA_UWAGI") %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE, X245c = `$c`)
} else {
BN_autor <- marc_field_100 %>%
select(ZA_UWAGI,`$a`) %>%
unique() %>%
mutate(`$a` = str_remove(`$a`,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)")) %>%
unique() %>%
mutate(AM_NAZWISKO = ifelse(grepl("\\|",`$a`), str_replace_all(str_remove_all(`$a`,","),"\\|",", "),
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\1"),as.character(`$a`))),
AM_IMIE = ifelse(grepl("\\|",`$a`),"*",
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\3"),"*"))) %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE) %>%
left_join(.,marc_field_245,by="ZA_UWAGI") %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE, X245c = `$c`)
}
x <- 1:lengths(BN_autor[1])
for (i in x) {
progress(match(i,x), max.value = length(x))
BN_autor$czy_nazwisko[i] <- grepl(BN_autor$AM_NAZWISKO[i],BN_autor$X245c[i])
BN_autor$czy_imie[i] <- grepl(BN_autor$AM_IMIE[i],BN_autor$X245c[i])
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Progress: 8153 on 8158 Progress: 8154 on 8158 Progress: 8155 on 8158 Progress: 8156 on 8158 Progress: 8157 on 8158 Progress: 8158 on 8158 BN_autor <- BN_autor %>%
mutate(ZA_ADNOTACJE = ifelse(czy_nazwisko==FALSE|czy_imie==FALSE,paste("UWAGA! Konflikt w danych osobowych w polach 100 i 245. Porównaj pole autor w formularzu z polem BN: ",X245c,sep = ""),NA)) %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE,ZA_ADNOTACJE) %>%
mutate(nazwa = str_replace_all(str_to_lower(paste(AM_NAZWISKO,AM_IMIE, sep = "")), "\\W", "")) %>%
left_join(.,PBL_autorzy %>% select(AM_AUTOR_ID,AM_KRYPTONIM,AM_LICZBA_ZAPISOW,nazwa) %>% filter(is.na(AM_KRYPTONIM)),by="nazwa") %>%
arrange(ZA_UWAGI,AM_NAZWISKO,AM_IMIE,-AM_LICZBA_ZAPISOW)
BN_autor$id_grupy <- cumsum(!duplicated(BN_autor[1:3]))
BN_autor <- BN_autor[!duplicated(BN_autor$id_grupy),] %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE,ZA_ADNOTACJE,AM_AUTOR_ID)
#3: tytuł
#pole 245
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 if("$n" %in% colnames(marc_field_245)) {
marc_field_245 <- marc_field_245 %>%
select(ZA_UWAGI,`$a`,`$b`,`$n`,`$p`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = " "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = " "),
`$n` = paste(ifelse(is.na(`$n`),"",as.character(`$n`)),collapse = " "),
`$p` = paste(ifelse(is.na(`$p`),"",as.character(`$p`)),collapse = " ")) %>%
ungroup() %>%
unique() %>%
unite("ZA_TYTUL",`$a`:`$p`,sep = " ",na.rm = TRUE) %>%
mutate(ZA_TYTUL = str_replace_all(ZA_TYTUL," +"," "),
ZA_TYTUL = str_remove(ZA_TYTUL, "\\s+\\/\\s{0,}$"),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = str_replace_all(ZA_TYTUL,"\\.{3} \\.{3}","... "),
ZA_TYTUL = str_replace_all(ZA_TYTUL," ; ",". "),
ZA_TYTUL = gsub("( : )(.)",". \\U\\2",perl=TRUE,ZA_TYTUL)) %>%
select(ZA_UWAGI,ZA_TYTUL)
} else {
marc_field_245 <- marc_field_245 %>%
select(ZA_UWAGI,`$a`,`$b`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = " "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = " ")) %>%
ungroup() %>%
unique() %>%
unite("ZA_TYTUL",`$a`:`$b`,sep = " ",na.rm = TRUE) %>%
mutate(ZA_TYTUL = str_replace_all(ZA_TYTUL," +"," "),
ZA_TYTUL = str_remove(ZA_TYTUL, "\\s+\\/\\s{0,}$"),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = str_replace_all(ZA_TYTUL,"\\.{3} \\.{3}","... "),
ZA_TYTUL = str_replace_all(ZA_TYTUL," ; ",". "),
ZA_TYTUL = gsub("( : )(.)",". \\U\\2",perl=TRUE,ZA_TYTUL)) %>%
select(ZA_UWAGI,ZA_TYTUL)
}
#dopisanie gatunku do przedmiotowej na podstawie 655 i 650
gatunki_pbl <- data.frame(gatunek = c("aforyzm", "album", "antologia", "autobiografia", "dziennik", "esej", "felieton", "inne", "kazanie", "list", "miniatura prozą", "opowiadanie", "poemat", "powieść", "proza", "proza poetycka", "reportaż", "rozmyślanie religijne", "rysunek, obraz", "scenariusz", "szkic", "tekst biblijny", "tekst dramatyczny", "dramat", "wiersz", "wspomnienia", "wypowiedź", "pamiętniki", "poezja", "literatura podróżnicza", "satyra", "piosenka"))
#dramat, pamiętniki, poezja, literatura podróżnicza, satyra, piosenka
gatunki_bn <- data %>%
select(ZA_UWAGI,X655,X650)
gatunki_bn <- sqldf("select *
from gatunki_bn
left join gatunki_pbl on lower(gatunki_bn.X655) like '%'||gatunki_pbl.gatunek||'%'")
gatunki_bn <- sqldf("select *
from gatunki_bn
left join gatunki_pbl on lower(gatunki_bn.X650) like '%'||gatunki_pbl.gatunek||'%'")
colnames(gatunki_bn)[5] <- "gatunek2"
gatunki_bn <- gatunki_bn %>%
mutate(gatunek = ifelse(is.na(gatunek)&!is.na(gatunek2),as.character(gatunek2),as.character(gatunek)),
gatunek = ifelse(grepl("przypowieść",X655,ignore.case = TRUE)&!grepl("[^y]powieść",X655)&gatunek=="powieść","opowiadanie",as.character(gatunek))) %>%
filter(!is.na(gatunek)) %>%
select(ZA_UWAGI,gatunek) %>%
mutate(gatunek = ifelse(gatunek=="dramat","tekst dramatyczny",
ifelse(gatunek=="pamiętniki","wspomnienia",
ifelse(gatunek=="poezja","wiersz",
ifelse(gatunek=="literatura podróżnicza","reportaż",
ifelse(gatunek=="piosenka","wiersz",as.character(gatunek))))))) %>%
group_by(ZA_UWAGI) %>%
mutate(gatunek = paste(gatunek,collapse = ", ")) %>%
ungroup() %>%
unique() %>%
mutate(gatunek = gsub("(^.)","\\U\\1",perl = TRUE, gatunek))
#połączenie tytułu z gatunkiem
za_tytul <- marc_field_245 %>%
left_join(.,gatunki_bn,by="ZA_UWAGI") %>%
mutate(gatunek = paste("[",gatunek,"]",sep = ""),
gatunek = ifelse(gatunek=="[NA]",NA,as.character(gatunek))) %>%
unite("ZA_TYTUL", ZA_TYTUL:gatunek, sep = ". ",na.rm=TRUE) %>%
mutate(ZA_TYTUL = str_replace_all(ZA_TYTUL,"\\. \\.",". "),
ZA_TYTUL = str_replace(ZA_TYTUL,"(\\!)(\\.)|(\\?)(\\.)","\\1"))
#4: tytuł oryginału
#pole 246
marc_field_246 <- data %>%
select(ZA_UWAGI,X246)%>%
filter(X246!="") %>%
mutate(X246=str_remove_all(X246,"~"),
X246=str_replace_all(X246,"(^|\\|)","~\\1")) %>%
cSplit(.,"X246",sep = "~",direction = "long") %>%
filter(X246!="") %>%
mutate(X246=str_remove_all(X246,"^\\|")) %>%
mutate(indicator = str_replace_all(X246,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X246,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_246)[1]))
colnames(empty_table) <-subfield_list
marc_field_246<-cbind(marc_field_246,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_246$X246 <- str_replace(marc_field_246$X246,subfield_list_char[i],"|\\1")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_246[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_246$X246),str_replace_all(gsub(string,"\\3",marc_field_246$X246),"\\${2}.", "~"),NA)
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 if("$n" %in% colnames(marc_field_246)) {
marc_field_246 <- marc_field_246[, colSums(is.na(marc_field_246)) != nrow(marc_field_246)] %>%
filter(grepl("oryg",X246)) %>%
select(ZA_UWAGI,`$a`,`$b`,`$n`,`$p`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = ", "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = ""),
`$n` = paste(ifelse(is.na(`$n`),"",as.character(`$n`)),collapse = ""),
`$p` = paste(ifelse(is.na(`$p`),"",as.character(`$p`)),collapse = "")) %>%
ungroup() %>%
unique() %>%
unite("X246",`$a`:`$p`,sep = " ",na.rm = TRUE) %>%
mutate(X246 = str_replace_all(X246," +"," "),
X246 = str_remove(X246, "\\s+\\/\\s{0,}$"),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X246),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( ){0,1}(.)",X246),gsub("(\\W)( )(:|;)( ){0,1}(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = str_replace_all(X246,"\\.{3} \\.{3}","... "),
X246 = gsub("( : )(.)",". \\U\\2",perl=TRUE,X246)) %>%
select(ZA_UWAGI, X246)
} else {
marc_field_246 <- marc_field_246[, colSums(is.na(marc_field_246)) != nrow(marc_field_246)] %>%
filter(grepl("oryg",X246)) %>%
select(ZA_UWAGI,`$a`,`$b`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = ", "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = "")) %>%
ungroup() %>%
unique() %>%
unite("X246",`$a`:`$b`,sep = " ",na.rm = TRUE) %>%
mutate(X246 = str_replace_all(X246," +"," "),
X246 = str_remove(X246, "\\s+\\/\\s{0,}$"),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X246),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( ){0,1}(.)",X246),gsub("(\\W)( )(:|;)( ){0,1}(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = str_replace_all(X246,"\\.{3} \\.{3}","... "),
X246 = gsub("( : )(.)",". \\U\\2",perl=TRUE,X246)) %>%
select(ZA_UWAGI, X246)
}
#pole 500
marc_field_500 <- data %>%
select(ZA_UWAGI,X500)%>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"~"),
X500=str_replace_all(X500,"(^|\\|)","~\\1")) %>%
cSplit(.,"X500",sep = "~",direction = "long") %>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"^\\|")) %>%
mutate(indicator = str_replace_all(X500,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X500,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_500)[1]))
colnames(empty_table) <-subfield_list
marc_field_500<-cbind(marc_field_500,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_500$X500 <- str_replace(marc_field_500$X500,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_500[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_500$X500),str_replace_all(gsub(string,"\\3",marc_field_500$X500),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_500 <- marc_field_500 %>%
filter(grepl("oryg\\.\\:",X500)) %>%
mutate(X500 = str_remove(`$a`,"^Tyt\\. oryg\\.: |^Tyt\\, oryg\\.: |^.*?tyt\\. oryg\\.: "),
X500 = str_remove(X500, "\\s+\\/\\s{0,}$"),
X500 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X500),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X500),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X500),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X500),as.character(X500))))),
X500 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X500),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X500),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X500),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X500),as.character(X500))))),
X500 = str_replace_all(X500,"\\.{3} \\.{3}","... "),
X500 = str_remove(X500, "\\.$"),
X500 = str_remove(X500,"(,{0,1} {0,1})\\d{4}.*$|(, t|. T)yt. oryg. cyklu:")) %>%
select(ZA_UWAGI,X500)
#tytuł oryginału
za_tytul_oryginalu <- data %>%
select(ZA_UWAGI) %>%
left_join(.,marc_field_246,by="ZA_UWAGI") %>%
left_join(.,marc_field_500,by="ZA_UWAGI") %>%
mutate(X500 = ifelse(is.na(X500),NA,
ifelse(grepl("oryg",X500),NA,as.character(X500))),
X500 = ifelse(!is.na(X500)&grepl("\\. - ",X500),str_replace(X500,"(.*?)(\\. - .*$)","\\1"),as.character(X500)),
X500 = ifelse(!is.na(X500)&grepl("Na książce pseud",X500),str_replace(X500,"(.*?)(\\. Na książce pseud.*$)","\\1"),as.character(X500)),
X500 = ifelse(!is.na(X500)&grepl("Przekł\\. wg",X500),str_replace(X500,"(.*?)(\\. Przekł\\. wg.*$)","\\1"),as.character(X500)),
ZA_TYTUL_ORYGINALU = ifelse(is.na(X246)&is.na(X500),NA,
ifelse(!is.na(X500),as.character(X500),as.character(X246))),
ZA_TYTUL_ORYGINALU = str_remove_all(ZA_TYTUL_ORYGINALU,'\\"')) %>%
select(ZA_UWAGI,ZA_TYTUL_ORYGINALU)
#5: język oryginału
marc_field_041 <- data %>%
select(ZA_UWAGI,X041)%>%
filter(X041!="") %>%
mutate(X041=str_replace_all(X041,"(^|\\|)","~\\1")) %>%
cSplit(.,"X041",sep = "~",direction = "long") %>%
filter(X041!="") %>%
mutate(X041=str_remove_all(X041,"^\\|")) %>%
mutate(indicator = str_replace_all(X041,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X041,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_041)[1]))
colnames(empty_table) <-subfield_list
marc_field_041<-cbind(marc_field_041,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_041$X041 <- str_replace(marc_field_041$X041,subfield_list_char[i],"|\\1")
}Progress: 1 on 7 Progress: 2 on 7 Progress: 3 on 7 Progress: 4 on 7 Progress: 5 on 7 Progress: 6 on 7 Progress: 7 on 7 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_041[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_041$X041),str_replace_all(gsub(string,"\\3",marc_field_041$X041),"\\${2}.", "~"),NA)
}Progress: 1 on 7 Progress: 2 on 7 Progress: 3 on 7 Progress: 4 on 7 Progress: 5 on 7 Progress: 6 on 7 Progress: 7 on 7 za_jezyk_oryginalu <- data %>%
select(ZA_UWAGI) %>%
left_join(.,marc_field_041 %>% select(ZA_UWAGI,ZA_JEZYK_ORYGINALU = `$a`),by="ZA_UWAGI") %>%
mutate(ZA_JEZYK_ORYGINALU = str_replace_all(ZA_JEZYK_ORYGINALU,"\\$a",",")) %>%
unique()
#6: współtwórcy
marc_field_700 <- data %>%
select(ZA_UWAGI,X700)%>%
filter(X700!="") %>%
mutate(X700=str_replace_all(X700,"(..\\$a)","|\\1"),
X700=str_replace_all(X700,"(^|\\|)","~\\1")) %>%
cSplit(.,"X700",sep = "~",direction = "long") %>%
filter(X700!="") %>%
mutate(X700=str_remove_all(X700,"^\\|")) %>%
mutate(indicator = str_replace_all(X700,"(^.*?)(\\$.*)","\\1")) %>%
filter(X700!="")
subfield_list<- str_extract_all(data$X700,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_700)[1]))
colnames(empty_table) <-subfield_list
marc_field_700<-cbind(marc_field_700,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_700$X700 <- str_replace(marc_field_700$X700,subfield_list_char[i],"|\\1")
}Progress: 1 on 10 Progress: 2 on 10 Progress: 3 on 10 Progress: 4 on 10 Progress: 5 on 10 Progress: 6 on 10 Progress: 7 on 10 Progress: 8 on 10 Progress: 9 on 10 Progress: 10 on 10 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_700[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_700$X700),str_replace_all(gsub(string,"\\3",marc_field_700$X700),"\\${2}.", "~"),NA)
}Progress: 1 on 10 Progress: 2 on 10 Progress: 3 on 10 Progress: 4 on 10 Progress: 5 on 10 Progress: 6 on 10 Progress: 7 on 10 Progress: 8 on 10 Progress: 9 on 10 Progress: 10 on 10 BN_wspoltworca <- marc_field_700 %>%
select(ZA_UWAGI,osoba = `$a`,funkcja = `$e`) %>%
filter(!is.na(funkcja)) %>%
mutate(osoba = str_remove(osoba,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)"),
OS_NAZWISKO = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\1"),as.character(osoba)),
OS_IMIE = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\3"),"*"),
ws_prosty = str_replace_all(str_to_lower(osoba), "\\W", ""),
fu_prosta = str_replace_all(str_to_lower(funkcja), "\\W", "")) %>%
left_join(.,PBL_wspoltworcy %>% select(OS_OSOBA_ID,OS_LICZBA_ZAPISOW,nazwa_prosta),by=c("ws_prosty"="nazwa_prosta")) %>%
arrange(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,-OS_LICZBA_ZAPISOW)
BN_wspoltworca$id_grupy <- cumsum(!duplicated(BN_wspoltworca[1:2]))
BN_wspoltworca <- BN_wspoltworca[!duplicated(BN_wspoltworca$id_grupy),] %>%
left_join(.,PBL_funkcje,by=c("fu_prosta"="nazwa")) %>%
mutate(fo_symbol = ifelse(fo_symbol=="NULL",NA,as.character(fo_symbol))) %>%
select(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,OS_OSOBA_ID,fo_symbol,fo_nazwa,funkcja)
#tutaj przeszukać X245 i znaleźć błędy współtwórców
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 marc_field_245 <- marc_field_245 %>%
select(ZA_UWAGI,X245c=`$c`)
BN_wspoltworca <- BN_wspoltworca %>%
left_join(.,marc_field_245,by="ZA_UWAGI")
x <- 1:lengths(BN_wspoltworca[1])
for (i in x) {
progress(match(i,x), max.value = length(x))
BN_wspoltworca$czy_nazwisko[i] <- str_detect(BN_wspoltworca$X245c[i],BN_wspoltworca$OS_NAZWISKO[i])
BN_wspoltworca$czy_imie[i] <- grepl(BN_wspoltworca$OS_IMIE[i],BN_wspoltworca$X245c[i])
}Progress: 1 on 5890 Progress: 2 on 5890 Progress: 3 on 5890 Progress: 4 on 5890 Progress: 5 on 5890 Progress: 6 on 5890 Progress: 7 on 5890 Progress: 8 on 5890 Progress: 9 on 5890 Progress: 10 on 5890 Progress: 11 on 5890 Progress: 12 on 5890 Progress: 13 on 5890 Progress: 14 on 5890 Progress: 15 on 5890 Progress: 16 on 5890 Progress: 17 on 5890 Progress: 18 on 5890 Progress: 19 on 5890 Progress: 20 on 5890 Progress: 21 on 5890 Progress: 22 on 5890 Progress: 23 on 5890 Progress: 24 on 5890 Progress: 25 on 5890 Progress: 26 on 5890 Progress: 27 on 5890 Progress: 28 on 5890 Progress: 29 on 5890 Progress: 30 on 5890 Progress: 31 on 5890 Progress: 32 on 5890 Progress: 33 on 5890 Progress: 34 on 5890 Progress: 35 on 5890 Progress: 36 on 5890 Progress: 37 on 5890 Progress: 38 on 5890 Progress: 39 on 5890 Progress: 40 on 5890 Progress: 41 on 5890 Progress: 42 on 5890 Progress: 43 on 5890 Progress: 44 on 5890 Progress: 45 on 5890 Progress: 46 on 5890 Progress: 47 on 5890 Progress: 48 on 5890 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mutate(ZA_ADNOTACJE = ifelse(czy_nazwisko==FALSE|czy_imie==FALSE,paste("UWAGA! Konflikt w danych osobowych w polach 700 i 245. Porównaj pola współtórców w formularzu z polem BN: ",X245c,sep = ""),NA)) %>%
select(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,OS_OSOBA_ID,fo_symbol,fo_nazwa,funkcja,ZA_ADNOTACJE)
#7: opis współtwórców
opis_wspoltworcow <- BN_wspoltworca %>%
select(ZA_UWAGI,funkcja,OS_IMIE,OS_NAZWISKO) %>%
full_join(.,marc_field_245,by="ZA_UWAGI") %>%
filter(!is.na(OS_NAZWISKO)|(is.na(OS_NAZWISKO)&grepl("et al\\.",X245c))) %>%
mutate(jest_et_al = grepl("et al\\.",X245c),
OS_IMIE = ifelse(OS_IMIE=="*","",as.character(OS_IMIE)),
opis = ifelse(!is.na(OS_NAZWISKO),paste(funkcja,OS_IMIE, OS_NAZWISKO, sep = " "),""),
opis = str_replace_all(opis," +"," "),
opis = ifelse(opis==" ","",as.character(opis))) %>%
select(ZA_UWAGI,opis,jest_et_al) %>%
group_by(ZA_UWAGI) %>%
mutate(opis = paste(opis,collapse = ", "),
jest_et_al = paste(unique(jest_et_al),sep = "")) %>%
ungroup() %>%
unique() %>%
mutate(opis = ifelse(jest_et_al==TRUE&opis=="","et al.",
ifelse(jest_et_al,paste(opis,"et al.",sep = " "),opis))) %>%
select(ZA_UWAGI,opis)
#700
marc_field_700 <- data %>%
select(ZA_UWAGI,X700)%>%
filter(X700!="") %>%
mutate(X700=str_replace_all(X700,"(..\\$a)","|\\1"),
X700=str_replace_all(X700,"(^|\\|)","~\\1")) %>%
cSplit(.,"X700",sep = "~",direction = "long") %>%
filter(X700!="") %>%
mutate(X700=str_remove_all(X700,"^\\|")) %>%
mutate(indicator = str_replace_all(X700,"(^.*?)(\\$.*)","\\1")) %>%
filter(X700!="")
subfield_list<- str_extract_all(data$X700,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_700)[1]))
colnames(empty_table) <-subfield_list
marc_field_700<-cbind(marc_field_700,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_700$X700 <- str_replace(marc_field_700$X700,subfield_list_char[i],"|\\1")
}Progress: 1 on 10 Progress: 2 on 10 Progress: 3 on 10 Progress: 4 on 10 Progress: 5 on 10 Progress: 6 on 10 Progress: 7 on 10 Progress: 8 on 10 Progress: 9 on 10 Progress: 10 on 10 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_700[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_700$X700),str_replace_all(gsub(string,"\\3",marc_field_700$X700),"\\${2}.", "~"),NA)
}Progress: 1 on 10 Progress: 2 on 10 Progress: 3 on 10 Progress: 4 on 10 Progress: 5 on 10 Progress: 6 on 10 Progress: 7 on 10 Progress: 8 on 10 Progress: 9 on 10 Progress: 10 on 10 marc_field_700 <- marc_field_700 %>%
select(ZA_UWAGI,osoba = `$a`,funkcja = `$e`) %>%
filter(!is.na(funkcja)) %>%
mutate(osoba = str_remove(osoba,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)"),
OS_NAZWISKO = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\1"),as.character(osoba)),
OS_IMIE = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\3"),"*"),
funkcja_duza = str_to_lower(funkcja),
opis = paste(funkcja_duza,OS_IMIE,OS_NAZWISKO, sep = " "),
opis_duzy = paste(funkcja,OS_IMIE,OS_NAZWISKO, sep = " ")) %>%
select(ZA_UWAGI,opis,opis_duzy) %>%
group_by(ZA_UWAGI) %>%
mutate(opis = paste(opis,collapse = ". "),
opis_duzy = paste(opis_duzy,collapse = ". ")) %>%
ungroup() %>%
unique()
#opis współtwórców ze strefy odpowiedzialności 245
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 marc_field_245 <- marc_field_245 %>%
select(ZA_UWAGI,`$c`)
#porównanie opisu współtwórców z 245 i 700
wspoltworcy <- marc_field_700 %>%
full_join(.,marc_field_245,by="ZA_UWAGI") %>%
cSplit(.,"$c",sep = " ; ",direction = "long") %>%
#ograniczanie osób ze strefy odpowiedzialności
mutate(czy_mala = grepl(" [a-zęóąśłżźćń]|^[a-zęóąśłżźćń]|\\[[a-zęóąśłżźćń]",`$c`,ignore.case = FALSE)) %>%
filter(czy_mala==TRUE) %>%
select(-czy_mala) %>%
#mutate(`$c` = gsub("^(\\[){0,1}([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])","\\1\\U\\2",perl = TRUE,`$c`)) %>%
group_by(ZA_UWAGI) %>%
mutate(X245 = paste(`$c`, collapse = ", ")) %>%
select(-`$c`) %>%
unique() %>%
mutate(order_pbl = as.character(str_extract_all(opis,"(?<=^| |\\[|-)([A-ZAÁÀÂÃÄĂĀÅĄÆEÉÈÊËĚĒĖĘIÍÌÎÏĪĮIOÓÒÔÕÖŐØŒUÚÙÛÜŰŪůYÝCĆČçDĎĐĐGĢĞKĶLŁĻNŃÑŇŅŊRŘSŚŠŞSßTŤŦÞŢ8ZŻŹŽa-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])")),
order_pbl = str_replace_all(order_pbl,"(.*?\")(.)(\".*?.)", "\\2"),
order_bn = as.character(str_extract_all(X245,"(?<=^| |\\[|-)([A-ZAÁÀÂÃÄĂĀÅĄÆEÉÈÊËĚĒĖĘIÍÌÎÏĪĮIOÓÒÔÕÖŐØŒUÚÙÛÜŰŪůYÝCĆČçDĎĐĐGĢĞKĶLŁĻNŃÑŇŅŊRŘSŚŠŞSßTŤŦÞŢ8ZŻŹŽa-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])")),
order_bn = str_replace_all(order_bn,"(.*?\")(.)(\".*?.)", "\\2"),
X245 = str_remove(X245, "\\.$"),
X245 = str_remove(X245, "\\["),
X245 = str_remove(X245, "\\]"),
order_pbl = str_remove_all(order_pbl, "[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]"),
order_bn = str_remove_all(order_bn, "[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]"),
to_samo = order_pbl==order_bn,
X245 = gsub("(^[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(.*)","\\U\\1\\E\\2",perl = TRUE, X245)) %>%
left_join(.,za_jezyk_oryginalu,by="ZA_UWAGI") %>%
mutate(czy_pl = grepl("pol",ZA_JEZYK_ORYGINALU)|is.na(ZA_JEZYK_ORYGINALU),
decyzja = ifelse(to_samo==FALSE|czy_pl==FALSE,FALSE,TRUE))
za_opis_wspoltworcow <- wspoltworcy %>%
mutate(za_opis_wspoltworcow = ifelse(decyzja==TRUE,as.character(X245),paste(X245,opis_duzy,sep = "#"))) %>%
select(ZA_UWAGI,opis_duzy,za_opis_wspoltworcow) %>%
cSplit(.,"za_opis_wspoltworcow",sep = "#",direction = "wide") %>%
mutate(za_opis_wspoltworcow_2 = ifelse(is.na(za_opis_wspoltworcow_2),'',as.character(za_opis_wspoltworcow_2)),
to_samo = za_opis_wspoltworcow_1==za_opis_wspoltworcow_2) %>%
filter(to_samo==FALSE) %>%
group_by(ZA_UWAGI) %>%
mutate(za_opis_wspoltworcow = paste(za_opis_wspoltworcow_1,za_opis_wspoltworcow_2,sep = "#"),
za_opis_wspoltworcow = str_remove_all(za_opis_wspoltworcow,"\\#$")) %>%
select(ZA_UWAGI,za_opis_wspoltworcow)
opis_wspoltworcow <- opis_wspoltworcow %>%
filter(ZA_UWAGI %notin% za_opis_wspoltworcow$ZA_UWAGI) %>%
filter(!is.na(opis)) %>%
rename(za_opis_wspoltworcow = opis)
za_opis_wspoltworcow <- za_opis_wspoltworcow %>%
bind_rows(.,opis_wspoltworcow) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#8 wydanie
marc_field_250 <- data %>%
select(ZA_UWAGI,X250)%>%
filter(X250!="") %>%
mutate(X250=str_replace_all(X250,"(^|\\|)","~\\1")) %>%
cSplit(.,"X250",sep = "~",direction = "long") %>%
filter(X250!="") %>%
mutate(X250=str_remove_all(X250,"^\\|")) %>%
mutate(indicator = str_replace_all(X250,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X250,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_250)[1]))
colnames(empty_table) <-subfield_list
marc_field_250<-cbind(marc_field_250,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_250$X250 <- str_replace(marc_field_250$X250,subfield_list_char[i],"|\\1")
}Progress: 1 on 2 Progress: 2 on 2 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_250[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_250$X250),str_replace_all(gsub(string,"\\3",marc_field_250$X250),"\\${2}.", "~"),NA)
}Progress: 1 on 2 Progress: 2 on 2 za_wydanie <- marc_field_250 %>%
select(ZA_UWAGI, wydanie = `$a`) %>%
mutate(wydanie = str_remove(wydanie," \\/$")) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#9: instytucja sprawcza
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 za_instytucja <- marc_field_245 %>%
select(ZA_UWAGI,X245c=`$c`) %>%
filter(!is.na(X245c)) %>%
mutate(instytucja = ifelse(grepl("\\;",X245c),str_replace_all(X245c, "(.*?)(\\;(?!.*\\;))( )+(.*?$)","\\4"),"")) %>%
left_join(.,BN_wspoltworca,by="ZA_UWAGI")
x <- 1:lengths(za_instytucja[1])
for (i in x) {
progress(match(i,x), max.value = length(x))
za_instytucja$czy_nazwisko[i] <- grepl(za_instytucja$OS_NAZWISKO[i],za_instytucja$X245c[i])
za_instytucja$czy_imie[i] <- grepl(za_instytucja$OS_IMIE[i],za_instytucja$X245c[i])
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filter(is.na(czy_nazwisko)&is.na(czy_imie)) %>%
filter(instytucja!="") %>%
filter(!grepl("^\\[[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]|^[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]",instytucja)) %>%
mutate(instytucja = str_remove(instytucja,"\\.$")) %>%
select(ZA_UWAGI,instytucja) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#10: wydawnictwo
BN_wydawnictwo <- data %>%
select(ZA_UWAGI, X260) %>%
mutate(X260 = str_replace_all(X260,"s\\.n\\.", "b.w."),
X260 = str_replace_all(X260,"s\\.l\\.", "b.m."),
X260 = str_replace_all(X260,"S\\.l\\.", "b.m."),
X260 = str_remove(X260,"^\\\\+"),
rok_wydania = str_extract_all(X260, "(?<=\\$c).*(?=\\$e)|(?<=\\$c).*"),
bez_roku = str_replace_all(X260, ".\\$c.*", ""),
ile_wydawnictw = str_count(bez_roku, "\\$b"),
ile_miejsc = str_count(bez_roku, "\\$a"),
kolejnosc = str_replace_all(as.character(str_extract_all(bez_roku, "\\$.")), "[^a-z]", ""),
bez_roku = str_replace_all(bez_roku, ";\\$b", ":$b"),
wydaw_podziel = ifelse(ile_wydawnictw>ile_miejsc|kolejnosc=="caabb", str_replace_all(bez_roku, "(\\$a)(.*?)( :\\$b.*?)( :\\$b)", "\\1\\2\\3 ;$a\\2\\4"),bez_roku),
wydawnictwo_test = str_replace_all(wydaw_podziel, "(\\$b)(.*?)( ;\\$a)", "\\1\\2|\\3")) %>%
select(ZA_UWAGI,rok_wydania,wydawnictwo_test) %>%
cSplit(., "wydawnictwo_test", sep = "|", direction = "long") %>%
mutate(wydawnictwo = str_extract_all(wydawnictwo_test, "(?<=\\$b)(.*)"),
miejsce_wydania = str_replace_all(str_extract_all(wydawnictwo_test, "(?<=\\$a)(.*)(?= {0,1}: {0,1}\\$b)|(?<=\\$a)(.*)($)")," ;\\$a", ", "),
nazwa_prosta = str_to_lower(str_replace_all(str_replace_all(unlist(wydawnictwo_test), "\\$\\w", ""), "\\W", ""))) %>%
left_join(.,PBL_wydawnictwa,by="nazwa_prosta") %>%
mutate(to_samo = wydawnictwo==WY_NAZWA) %>%
arrange(ZA_UWAGI,-to_samo,-WY_LICZBA_ZAPISOW)
BN_wydawnictwo$id_grupy <- cumsum(!duplicated(BN_wydawnictwo[1:3]))
BN_wydawnictwo <- BN_wydawnictwo[!duplicated(BN_wydawnictwo$id_grupy),] %>%
mutate(WY_NAZWA = ifelse(!is.na(WY_NAZWA),as.character(WY_NAZWA),as.character(wydawnictwo)),
WY_MIASTO = ifelse(!is.na(WY_MIASTO),as.character(WY_MIASTO),trim(as.character(miejsce_wydania))),
rok_wydania = str_replace_all(rok_wydania, "(.*)(\\.)", "\\1"),
za_rok_wydania = ifelse(nchar(rok_wydania)==4,as.character(rok_wydania),NA),
do_opisu = ifelse(is.na(za_rok_wydania),paste("[",str_extract(rok_wydania,"\\d{4}"),"]",sep = ""),""),
WY_MIASTO = ifelse(substr(WY_MIASTO,1,1)=="["&substr(WY_MIASTO,nchar(WY_MIASTO),nchar(WY_MIASTO))!="]"&is.na(WY_WYDAWNICTWO_ID),paste(trim(WY_MIASTO),"]",sep = ""),as.character(WY_MIASTO))) %>%
select(ZA_UWAGI,WY_WYDAWNICTWO_ID,WY_NAZWA,WY_MIASTO,za_rok_wydania,do_opisu) %>%
mutate(WY_NAZWA = ifelse(str_count(WY_NAZWA, "\\[")>str_count(WY_NAZWA, "\\]"), paste(WY_NAZWA, "]", sep = ""),
ifelse(str_count(WY_NAZWA, "\\[")<str_count(WY_NAZWA, "\\]"), paste("[", WY_NAZWA, sep = ""), as.character(WY_NAZWA))),
WY_MIASTO = ifelse(str_count(WY_MIASTO, "\\[")>str_count(WY_MIASTO, "\\]"), paste(WY_MIASTO, "]", sep = ""),
ifelse(str_count(WY_MIASTO, "\\[")<str_count(WY_MIASTO, "\\]"), paste("[", WY_MIASTO, sep = ""), as.character(WY_MIASTO))))argument is not an atomic vector; coercing#11: opis fizyczny książki
#pole 300 do opisu fizycznego
marc_field_300 <- data %>%
select(ZA_UWAGI,X300)%>%
filter(X300!="") %>%
mutate(X300=str_replace_all(X300,"(^|\\|)","~\\1")) %>%
cSplit(.,"X300",sep = "~",direction = "long") %>%
filter(X300!="") %>%
mutate(X300=str_remove_all(X300,"^\\|")) %>%
mutate(indicator = str_replace_all(X300,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X300,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_300)[1]))
colnames(empty_table) <-subfield_list
marc_field_300<-cbind(marc_field_300,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_300$X300 <- str_replace(marc_field_300$X300,subfield_list_char[i],"|\\1")
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_300[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_300$X300),str_replace_all(gsub(string,"\\3",marc_field_300$X300),"\\${2}.", "~"),NA)
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 marc_field_300 <- marc_field_300 %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"),
`$b` = str_remove(`$b`," \\;+$| \\:+$"),
`$e` = ifelse(grepl("CD-ROM|DVD|VCD|CD",`$e`)&grepl("\\+ dysk|płyt",`$e`),str_extract(`$e`,"(?<=\\+)(dysk|płyt.*?)(CD-ROM|DVD|VCD|CD)(\\)){0,1}"),
ifelse(grepl("CD-ROM|DVD|VCD|CD",`$e`),str_extract(`$e`,"(^.*?)(CD-ROM|DVD|VCD|CD)(\\)){0,1}"),NA)),
`$a` = ifelse(is.na(`$a`),"",as.character(`$a`)),
`$b` = ifelse(is.na(`$b`),"",as.character(`$b`)),
`$e` = ifelse(is.na(`$e`),"",as.character(`$e`)))
#pole 500 do opisu fizycznego
marc_field_500 <- data %>%
select(ZA_UWAGI,X500)%>%
filter(X500!="") %>%
mutate(X500=str_replace_all(X500,"(^|\\|)","~\\1")) %>%
cSplit(.,"X500",sep = "~",direction = "long") %>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"^\\|")) %>%
mutate(indicator = str_replace_all(X500,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X500,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_500)[1]))
colnames(empty_table) <-subfield_list
marc_field_500<-cbind(marc_field_500,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_500$X500 <- str_replace(marc_field_500$X500,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_500[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_500$X500),str_replace_all(gsub(string,"\\3",marc_field_500$X500),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_500 <- marc_field_500 %>%
mutate(`$a` = ifelse(grepl("oryg(\\.|\\,)",X500)&grepl("pseud|nazwa",X500,ignore.case = TRUE),str_replace(`$a`,"(^.*?)(\\. )(\\p{Lu}.*$)","\\3"),as.character(`$a`))) %>%
filter(!grepl("oryg(\\.|\\,)",`$a`)&grepl("pseud|nazwa|dotycz|pol",`$a`,ignore.case = TRUE)) %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"))
#pole 546 do opisu fizycznego
marc_field_546 <- data %>%
select(ZA_UWAGI,X546)%>%
filter(X546!="") %>%
mutate(X546=str_replace_all(X546,"(^|\\|)","~\\1")) %>%
cSplit(.,"X546",sep = "~",direction = "long") %>%
filter(X546!="") %>%
mutate(X546=str_remove_all(X546,"^\\|")) %>%
mutate(indicator = str_replace_all(X546,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X546,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_546)[1]))
colnames(empty_table) <-subfield_list
marc_field_546<-cbind(marc_field_546,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_546$X546 <- str_replace(marc_field_546$X546,subfield_list_char[i],"|\\1")
}Progress: 1 on 2 Progress: 2 on 2 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_546[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_546$X546),str_replace_all(gsub(string,"\\3",marc_field_546$X546),"\\${2}.", "~"),NA)
}Progress: 1 on 2 Progress: 2 on 2 marc_field_546 <- marc_field_546 %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"))
#pole 501 do opisu fizycznego
marc_field_501 <- data %>%
select(ZA_UWAGI,X501)%>%
filter(X501!="") %>%
mutate(X501=str_replace_all(X501,"(^|\\|)","~\\1")) %>%
cSplit(.,"X501",sep = "~",direction = "long") %>%
filter(X501!="") %>%
mutate(X501=str_remove_all(X501,"^\\|")) %>%
mutate(indicator = str_replace_all(X501,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X501,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_501)[1]))
colnames(empty_table) <-subfield_list
marc_field_501<-cbind(marc_field_501,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_501$X501 <- str_replace(marc_field_501$X501,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_501[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_501$X501),str_replace_all(gsub(string,"\\3",marc_field_501$X501),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_501 <- marc_field_501 %>%
select(ZA_UWAGI, `$a`)
za_opis_ks <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wydawnictwo %>% select(ZA_UWAGI,do_opisu),by="ZA_UWAGI") %>%
left_join(.,marc_field_300 %>% select(ZA_UWAGI,X300a=`$a`,X300b=`$b`,X300e=`$e`),by="ZA_UWAGI") %>%
left_join(.,marc_field_500 %>% select(ZA_UWAGI,X500a=`$a`),by="ZA_UWAGI") %>%
left_join(.,marc_field_546 %>% select(ZA_UWAGI,X546a=`$a`),by="ZA_UWAGI") %>%
left_join(.,marc_field_501 %>% select(ZA_UWAGI,X501a=`$a`),by="ZA_UWAGI")
za_opis_ks[is.na(za_opis_ks)] <- ""
za_opis_ks <- za_opis_ks %>%
mutate(za_opis_ks = paste(ifelse(do_opisu!="",paste(as.character(do_opisu),", ",sep = ""),""),ifelse(X300a!="",paste(as.character(X300a),", ",sep = ""),""),ifelse(X300b!="",paste(as.character(X300b),", ",sep = ""),""),ifelse(X300e!="",paste(as.character(X300e),", ",sep = ""),""),ifelse(X500a!="",paste(as.character(X500a),", ",sep = ""),""),ifelse(X546a!="",as.character(X546a),""),ifelse(X501a!="",as.character(X501a),""),sep = ""),
za_opis_ks = str_remove(za_opis_ks,"(, )+$")) %>%
select(ZA_UWAGI,za_opis_ks) %>%
unique() %>%
arrange(ZA_UWAGI,-nchar(za_opis_ks))
za_opis_ks$id_grupy <- cumsum(!duplicated(za_opis_ks[1]))
za_opis_ks <- za_opis_ks[!duplicated(za_opis_ks$id_grupy),] %>%
select(-id_grupy)
#12: seria wydawnicza
marc_field_490 <- data %>%
select(ZA_UWAGI,X490,X800,X830) %>%
mutate(X490 = ifelse(grepl("U\\+",X490),as.character(X830),as.character(X490))) %>%
mutate(X800 = ifelse(X490!="","",as.character(X800)),
X830 = ifelse(X490!="","",as.character(X830)),
X800 = str_replace(X800,"(\\$a)(.*)(\\$t)","\\1"),
X490 = ifelse(X490==""&X830!="",as.character(X830),
ifelse(X490==""&X800!="",as.character(X800),as.character(X490)))) %>%
select(ZA_UWAGI,X490) %>%
filter(X490!="") %>%
mutate(X490=str_replace_all(X490,"(^|\\|)","~\\1")) %>%
cSplit(.,"X490",sep = "~",direction = "long") %>%
filter(X490!="") %>%
mutate(X490=str_remove_all(X490,"^\\|")) %>%
mutate(indicator = str_replace_all(X490,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X490,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_490)[1]))
colnames(empty_table) <-subfield_list
marc_field_490<-cbind(marc_field_490,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_490$X490 <- str_replace(marc_field_490$X490,subfield_list_char[i],"|\\1")
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_490[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_490$X490),str_replace_all(gsub(string,"\\3",marc_field_490$X490),"\\${2}.", "~"),NA)
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 za_seria_wydawnicza <- marc_field_490 %>%
mutate(`$a` = str_replace_all(`$a`,"(=)(\\$a)","\\1 "),
`$a` = str_remove(`$a`," \\;+$| \\:+$"),
`$v` = ifelse(is.na(`$v`),"",as.character(`$v`))) %>%
filter(!is.na(`$a`)) %>%
mutate(seria = str_remove(paste("(",`$a`,"; ",`$v`,")",sep = ""),"; (?=\\)$)"),
seria = gsub("( : )(.)",". \\U\\2",perl=TRUE,seria)) %>%
select(ZA_UWAGI,seria) %>%
group_by(ZA_UWAGI) %>%
mutate(seria = paste(seria,collapse = " ")) %>%
ungroup() %>%
unique() %>%
mutate(seria = str_replace_all(seria,"\\$.","; ")) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#13: tomy
za_tomy <- data %>%
select(ZA_UWAGI) %>%
mutate(za_tomy = NA)
#14: adnotacje
za_adnotacje <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_autor %>% select(ZA_UWAGI,ZA_ADNOTACJE),by="ZA_UWAGI") %>%
left_join(.,BN_wspoltworca %>% select(ZA_UWAGI,ZA_ADNOTACJE),by="ZA_UWAGI") %>%
mutate(ZA_ADNOTACJE = paste(ifelse(is.na(ZA_ADNOTACJE.x),"",paste(as.character(ZA_ADNOTACJE.x),"# ",sep = "")),ifelse(is.na(ZA_ADNOTACJE.y),"",as.character(ZA_ADNOTACJE.y)),sep = ""),
ZA_ADNOTACJE = str_remove(ZA_ADNOTACJE,"(# )+$")) %>%
select(ZA_UWAGI,ZA_ADNOTACJE) %>%
unique() %>%
arrange(ZA_UWAGI,-nchar(ZA_ADNOTACJE))
za_adnotacje$id_grupy <- cumsum(!duplicated(za_adnotacje[1]))
za_adnotacje <- za_adnotacje[!duplicated(za_adnotacje$id_grupy),] %>%
select(-id_grupy)
#15: BN_URL
BN_URL <- data %>%
select(ZA_UWAGI,BN_URL)
#wyrównanie liczby wierszy do liczby wierszy obiektu data
BN_autor <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_autor %>% select(ZA_UWAGI,AM_AUTOR_ID,AM_NAZWISKO,AM_IMIE),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, AM_AUTOR_ID = paste(AM_AUTOR_ID, collapse="|"), AM_NAZWISKO = paste(AM_NAZWISKO, collapse="|"), AM_IMIE = paste(AM_IMIE, collapse="|"))
BN_wspoltworca <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wspoltworca %>% select(ZA_UWAGI,OS_OSOBA_ID,OS_NAZWISKO,OS_IMIE,fo_symbol),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, OS_OSOBA_ID = paste(OS_OSOBA_ID, collapse="|"), OS_NAZWISKO = paste(OS_NAZWISKO, collapse="|"), OS_IMIE = paste(OS_IMIE, collapse="|"), fo_symbol = paste(fo_symbol, collapse="|")) %>%
mutate(fo_symbol = ifelse(fo_symbol=="NULL","NA",as.character(fo_symbol)))
BN_wydawnictwo <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wydawnictwo %>% select(ZA_UWAGI,WY_WYDAWNICTWO_ID,WY_NAZWA,WY_MIASTO,za_rok_wydania),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, WY_WYDAWNICTWO_ID = paste(WY_WYDAWNICTWO_ID, collapse="|"), WY_NAZWA = paste(WY_NAZWA, collapse="|"), WY_MIASTO = paste(WY_MIASTO, collapse="|"), za_rok_wydania = paste(unique(za_rok_wydania), collapse="|")) %>%
mutate(za_rok_wydania = ifelse(za_rok_wydania=="NA","",as.integer(za_rok_wydania)))pojawi戼㸳y si攼㹡 warto㤼㹣ci NA na skutek przekszta戼㸳cenia#połączenie wszystkich elementów w jedną tabelę
kolejnosc <- data.frame(kolejnosc=c("ZA_UWAGI","RZ_NAZWA","ZA_RO_ROK","ZA_TYPE","RZ_RODZAJ_ID","DZ_NAZWA","DZ_DZIAL_ID","TW_TWORCA_ID","AM_AUTOR_ID","AM_NAZWISKO","AM_IMIE","ZA_TYTUL","ZA_TYTUL_ORYGINALU","ZA_JEZYK_ORYGINALU","OS_OSOBA_ID","OS_NAZWISKO","OS_IMIE","fo_symbol","za_opis_wspoltworcow","wydanie","za_tomy","instytucja","WY_WYDAWNICTWO_ID","WY_MIASTO","WY_NAZWA","za_rok_wydania","za_opis_ks","seria","TW_NAZWISKO","TW_IMIE","redaktor_dzialu","ZA_ADNOTACJE","BN_URL"))
polaczone <- data %>%
select(ZA_UWAGI) %>%
left_join(.,pola_pbl,by = "ZA_UWAGI") %>%
left_join(.,BN_autor,by = "ZA_UWAGI") %>%
left_join(.,za_tytul,by = "ZA_UWAGI") %>%
left_join(.,za_tytul_oryginalu,by = "ZA_UWAGI") %>%
left_join(.,za_jezyk_oryginalu,by = "ZA_UWAGI") %>%
left_join(.,BN_wspoltworca,by = "ZA_UWAGI") %>%
left_join(.,za_opis_wspoltworcow,by = "ZA_UWAGI") %>%
left_join(.,za_wydanie,by = "ZA_UWAGI") %>%
left_join(.,za_instytucja,by = "ZA_UWAGI") %>%
left_join(.,BN_wydawnictwo,by = "ZA_UWAGI") %>%
left_join(.,za_opis_ks,by = "ZA_UWAGI") %>%
left_join(.,za_seria_wydawnicza,by = "ZA_UWAGI") %>%
left_join(.,za_tomy,by = "ZA_UWAGI") %>%
left_join(.,za_adnotacje,by = "ZA_UWAGI") %>%
left_join(.,BN_URL,by = "ZA_UWAGI") %>%
select(as.vector(kolejnosc$kolejnosc))
colnames(polaczone) <- c("rekord_BN","rz_nazwa","za_ro_rok","za_type","rz_rodzaj_id","DZ_NAZWA","DZ_DZIAL_ID","tw_tworca_id","am_autor_id","am_nazwisko","am_imie","za_tytul","za_tytul_oryginalu","za_jezyk_oryginalu","os_osoba_id","os_nazwisko","os_imie","fo_symbol","za_opis_wspoltworcow","za_wydanie","za_tomy","za_instytucja","wy_wydawnictwo_id","wy_miejsce","wy_nazwa","za_rok_wydania","za_opis_fizyczny_ksiazki","za_seria_wydawnicza","tw_nazwisko","tw_imie","pracownik","za_adnotacje","BN_URL")
#zasygnalizowanie niepoprawnego kodowania
x <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("<U\\+(....)>",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)!=0,paste(polaczone$za_adnotacje,paste("UWAGA! Błąd kodowania w polu ",as.character(names(polaczone[i]))," Znajdź frazę \"???\" i zredaguj pole.",sep = ""),sep = "# "),paste("UWAGA! Błąd kodowania w polu ",as.character(names(polaczone[i]))," Znajdź frazę \"???\" i zredaguj pole.",sep = "")),as.character(polaczone$za_adnotacje))
polaczone[,i] <- gsub("<U\\+(....)>", "???", polaczone[,i])
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności znaku $ w którymś z pól
X <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("\\$",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)==0,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano znak \"$\". Zredaguj treść pola.",sep = ""),paste(polaczone$za_adnotacje,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano znak \"$\". Zredaguj treść pola.",sep = ""),sep = "# ")),as.character(polaczone$za_adnotacje))
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności frazy "character(0)" w którymś z pól
X <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("character\\(0\\)",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)==0,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano frazę \"character(0)\". Zredaguj treść pola.",sep = ""),paste(polaczone$za_adnotacje,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano frazę \"character(0)\". Zredaguj treść pola.",sep = ""),sep = "# ")),as.character(polaczone$za_adnotacje))
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności znaku # w opisie współtwórców
polaczone$za_adnotacje <- ifelse(grepl("\\#",polaczone$za_opis_wspoltworcow),
ifelse(nchar(polaczone$za_adnotacje)==0,"UWAGA! Ze względu na konflikt w opisie współtwórców wybierz właściwą wartość (strefa odpowiedzialności \"#\" współtwórcy z pola 700).",paste(polaczone$za_adnotacje,"UWAGA! Ze względu na konflikt w opisie współtwórców wybierz właściwą wartość (strefa odpowiedzialności # współtwórcy z pola 700).",sep = "# ")),as.character(polaczone$za_adnotacje))
#korekta automatycznego IOK
automatyczny_IOK <- polaczone %>%
mutate(czy_tyt_oryg = (!grepl("polsk",DZ_NAZWA)&!is.na(za_tytul_oryginalu))|grepl("polsk",DZ_NAZWA)) %>%
filter(za_adnotacje==""&am_nazwisko!="NA"&!grepl("pseud|nazw",za_opis_fizyczny_ksiazki)&!grepl("\\|",am_nazwisko)&czy_tyt_oryg==TRUE,
!grepl("szkic|felieton|list",str_replace(za_tytul,"(.*)(\\[.*$)","\\2"),ignore.case = TRUE)) %>%
select(rekord_BN) %>%
unique() %>%
filter(rekord_BN %notin% data$ZA_UWAGI[data$czy_automatycznie=="nie"]) %>%
mutate(powinno_byc = "IOK")
write.csv2(automatyczny_IOK, paste("C:/Users/",employee_name,"/Desktop/imp_",import_year,"_automatyczne_podmiotowe.csv",sep = ""), row.names = F, na = '', fileEncoding = 'UTF-8')
out <- cSplit(polaczone, c("am_autor_id", "am_nazwisko", "am_imie","os_osoba_id","os_nazwisko", "os_imie", "fo_symbol","wy_wydawnictwo_id","wy_miejsce","wy_nazwa"),sep = "|",direction = "long") %>%
unique()
out$rekord_BN <- ifelse(is.na(out$rekord_BN),'',as.character(out$rekord_BN))
out$rz_nazwa <- ifelse(is.na(out$rz_nazwa),'',as.character(out$rz_nazwa))
out$za_ro_rok <- ifelse(is.na(out$za_ro_rok),'',as.character(out$za_ro_rok))
out$za_type <- ifelse(is.na(out$za_type),'',as.character(out$za_type))
out$rz_rodzaj_id <- ifelse(is.na(out$rz_rodzaj_id),'',as.character(out$rz_rodzaj_id))
out$DZ_NAZWA <- ifelse(is.na(out$DZ_NAZWA),'',as.character(out$DZ_NAZWA))
out$DZ_DZIAL_ID <- ifelse(is.na(out$DZ_DZIAL_ID),'',as.character(out$DZ_DZIAL_ID))
out$tw_tworca_id <- ifelse(is.na(out$tw_tworca_id),'',as.character(out$tw_tworca_id))
out$am_autor_id <- ifelse(is.na(out$am_autor_id),'',as.character(out$am_autor_id))
out$am_nazwisko <- ifelse(is.na(out$am_nazwisko),'',as.character(out$am_nazwisko))
out$am_imie <- ifelse(is.na(out$am_imie),'',as.character(out$am_imie))
out$za_tytul <- ifelse(is.na(out$za_tytul),'',as.character(out$za_tytul))
out$za_tytul_oryginalu <- ifelse(is.na(out$za_tytul_oryginalu),'',as.character(out$za_tytul_oryginalu))
out$za_jezyk_oryginalu <- ifelse(is.na(out$za_jezyk_oryginalu),'',as.character(out$za_jezyk_oryginalu))
out$os_osoba_id <- ifelse(is.na(out$os_osoba_id),'',as.character(out$os_osoba_id))
out$os_nazwisko <- ifelse(is.na(out$os_nazwisko),'',as.character(out$os_nazwisko))
out$os_imie <- ifelse(is.na(out$os_imie),'',as.character(out$os_imie))
out$fo_symbol <- ifelse(is.na(out$fo_symbol),'',as.character(out$fo_symbol))
out$za_opis_wspoltworcow <- ifelse(is.na(out$za_opis_wspoltworcow),'',as.character(out$za_opis_wspoltworcow))
out$za_wydanie <- ifelse(is.na(out$za_wydanie),'',as.character(out$za_wydanie))
out$za_tomy <- ifelse(is.na(out$za_tomy),'',as.character(out$za_tomy))
out$za_instytucja <- ifelse(is.na(out$za_instytucja),'',as.character(out$za_instytucja))
out$wy_wydawnictwo_id <- ifelse(is.na(out$wy_wydawnictwo_id),'',as.character(out$wy_wydawnictwo_id))
out$wy_miejsce <- ifelse(is.na(out$wy_miejsce),'',as.character(out$wy_miejsce))
out$wy_nazwa <- ifelse(is.na(out$wy_nazwa),'',as.character(out$wy_nazwa))
out$za_rok_wydania <- ifelse(is.na(out$za_rok_wydania),'',as.character(out$za_rok_wydania))
out$za_opis_fizyczny_ksiazki <- ifelse(is.na(out$za_opis_fizyczny_ksiazki),'',as.character(out$za_opis_fizyczny_ksiazki))
out$za_seria_wydawnicza <- ifelse(is.na(out$za_seria_wydawnicza),'',as.character(out$za_seria_wydawnicza))
out$tw_nazwisko <- ifelse(is.na(out$tw_nazwisko),'',as.character(out$tw_nazwisko))
out$tw_imie <- ifelse(is.na(out$tw_imie),'',as.character(out$tw_imie))
out$pracownik <- ifelse(is.na(out$pracownik),'',as.character(out$pracownik))
out$za_adnotacje <- ifelse(is.na(out$za_adnotacje),'',as.character(out$za_adnotacje))
out$BN_URL <- ifelse(is.na(out$BN_URL),'',as.character(out$BN_URL))
out %$%
{ rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,) & BN_URL==lag(BN_URL,)} %>%
as.numeric() %>%
{.} -> out$same
out$same[1] <- 0
out$dzielone <- paste(out$am_autor_id,out$am_nazwisko,out$am_imie,out$os_osoba_id,out$os_nazwisko,out$os_imie,out$fo_symbol,out$wy_wydawnictwo_id,out$wy_miejsce,out$wy_nazwa,sep = "")
out <- out %>%
filter(!(same==1&dzielone=="")) %>%
select(1:33)
out %$%
{ rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,) & BN_URL==lag(BN_URL,)} %>%
as.numeric() %>%
{.} -> out$same
#ucięcie zbyt długich ciągów znaków, by weszły do oracle'a
dlugosci <- data.frame(pole = c("am_nazwisko", "am_imie", "za_tytul", "za_tytul_oryginalu", "za_jezyk_oryginalu", "os_nazwisko", "os_imie", "za_opis_wspoltworcow", "za_instytucja", "wy_miejsce", "wy_nazwa", "za_opis_fizyczny_ksiazki", "za_seria_wydawnicza", "tw_nazwisko", "tw_imie", "za_adnotacje"), liczba_znakow = c(50,40,500,500,100,50,40,500,255,40,255,1000,255,200,40,2000))
x <- match(dlugosci$pole,names(out))
for (i in x) {
progress(match(i,x), max.value = length(x))
dlugosc <- dlugosci$liczba_znakow[match(names(out[i]),dlugosci$pole)]
out$za_adnotacje <- ifelse(dlugosc<nchar(as.character(out[,i]))&out$za_adnotacje!="",paste(out$za_adnotacje,paste("UWAGA! Pole ",as.character(names(out[i]))," było zbyt długie i zostało przycięte. Zredaguj treść pola.",sep = ""),sep = "# "),
ifelse(dlugosc<nchar(as.character(out[,i]))&out$za_adnotacje=="",paste("UWAGA! Pole ",as.character(names(out[i]))," było zbyt długie i zostało przycięte. Zredaguj treść pola.",sep = ""),as.character(out$za_adnotacje)))
out[,i] <- ifelse(dlugosc<nchar(as.character(out[,i])),as.character(substr(out[,i],1,dlugosc)),as.character(out[,i]))
}Progress: 1 on 16 Progress: 2 on 16 Progress: 3 on 16 Progress: 4 on 16 Progress: 5 on 16 Progress: 6 on 16 Progress: 7 on 16 Progress: 8 on 16 Progress: 9 on 16 Progress: 10 on 16 Progress: 11 on 16 Progress: 12 on 16 Progress: 13 on 16 Progress: 14 on 16 Progress: 15 on 16 Progress: 16 on 16 out$rekord_BN[out$same == 1] <- ""
out$rz_nazwa[out$same == 1] <- ""
out$za_ro_rok[out$same == 1] <- ""
out$za_type[out$same == 1] <- ""
out$rz_rodzaj_id[out$same == 1] <- ""
out$DZ_NAZWA[out$same == 1] <- ""
out$DZ_DZIAL_ID[out$same == 1] <- ""
out$tw_tworca_id[out$same == 1] <- ""
out$za_tytul[out$same == 1] <- ""
out$za_tytul_oryginalu[out$same == 1] <- ""
out$za_jezyk_oryginalu[out$same == 1] <- ""
out$za_opis_wspoltworcow[out$same == 1] <- ""
out$za_wydanie[out$same == 1] <- ""
out$za_tomy[out$same == 1] <- ""
out$za_instytucja[out$same == 1] <- ""
out$za_rok_wydania[out$same == 1] <- ""
out$za_opis_fizyczny_ksiazki[out$same == 1] <- ""
out$za_seria_wydawnicza[out$same == 1] <- ""
out$tw_nazwisko[out$same == 1] <- ""
out$tw_imie[out$same == 1] <- ""
out$pracownik[out$same == 1] <- ""
out$za_adnotacje[out$same == 1] <- ""
out$BN_URL[out$same == 1] <- ""
#przypisanie do automatycznego OK redaktora "automat"
out <- out %>%
mutate(pracownik = ifelse(rekord_BN %in% automatyczny_IOK$rekord_BN,"AUTOMAT",as.character(pracownik))) %>%
select(1:33)
#pętla zapisująca po ok. 2000 wierszy z uwzględnieniem kompletności rekordów bibliograficznych rozpisanych na kilka wierszy
out <- out %>%
mutate(podzial = ifelse(rekord_BN!="",as.character(rekord_BN),NA)) %>%
fill(podzial)
ile <- unique(out$podzial)
ile <- split(unique(ile), ceiling(seq_along(unique(ile))/1500))
x <- 1:length(ile)
for (i in x) {
progress(match(i,x), max.value = length(x))
final <- out %>%
filter(podzial %in% ile[[i]]) %>%
select(-podzial)
write.xlsx(final, paste("C:/Users/",employee_name,"/Desktop/",import_year,"_podmiotowa_do_importu",i,".xlsx",sep = ""),sheetName = "gotowe")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 bn_ok <- chunk11
data <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
mutate(redaktor_dzialu = paste(redaktor_dzialu,"_przedm",sep = ""))
#uwolnienie kolumn z danymi z bn i przetworzenie do PBL
#1: za_uwagi, rz_nazwa, za_ro_rok, za_type, rz_rodzaj_id, tw_tworca_id, tw_nazwisko, tw_imie, dz_dzial_id, dz_nazwa, redaktor_dzialu
pola_pbl <- data %>%
select(ZA_UWAGI, RZ_NAZWA, ZA_RO_ROK = rok, RZ_RODZAJ_ID, TW_TWORCA_ID, TW_NAZWISKO, TW_IMIE, DZ_DZIAL_ID, DZ_NAZWA, redaktor_dzialu) %>%
mutate(ZA_TYPE = "KS")
#2: autor
BN_autor <- data %>%
select(X100,X245,ZA_UWAGI)
#pole 100
marc_field_100 <- BN_autor %>%
select(ZA_UWAGI,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(BN_autor$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 #pole 245
marc_field_245 <- BN_autor %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(BN_autor$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 BN_autor <- marc_field_100 %>%
select(ZA_UWAGI,`$a`,`$b`) %>%
unique() %>%
mutate(`$a` = ifelse(!is.na(`$b`),paste(`$a`,`$b`,sep = " "),as.character(`$a`))) %>%
mutate(`$a` = str_remove(`$a`,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)")) %>%
unique() %>%
mutate(AM_NAZWISKO = ifelse(grepl("\\|",`$a`), str_replace_all(str_remove_all(`$a`,","),"\\|",", "),
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\1"),as.character(`$a`))),
AM_IMIE = ifelse(grepl("\\|",`$a`),"*",
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\3"),"*"))) %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE) %>%
left_join(.,marc_field_245,by="ZA_UWAGI") %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE, X245c = `$c`)
x <- 1:lengths(BN_autor[1])
for (i in x) {
progress(match(i,x), max.value = length(x))
BN_autor$czy_nazwisko[i] <- grepl(BN_autor$AM_NAZWISKO[i],BN_autor$X245c[i])
BN_autor$czy_imie[i] <- grepl(BN_autor$AM_IMIE[i],BN_autor$X245c[i])
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mutate(ZA_ADNOTACJE = ifelse(czy_nazwisko==FALSE|czy_imie==FALSE,paste("UWAGA! Konflikt w danych osobowych w polach 100 i 245. Porównaj pole autor w formularzu z polem BN: ",X245c,sep = ""),NA)) %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE,ZA_ADNOTACJE) %>%
mutate(nazwa = str_replace_all(str_to_lower(paste(AM_NAZWISKO,AM_IMIE, sep = "")), "\\W", "")) %>%
left_join(.,PBL_autorzy %>% select(AM_AUTOR_ID,AM_KRYPTONIM,AM_LICZBA_ZAPISOW,nazwa) %>% filter(is.na(AM_KRYPTONIM)),by="nazwa") %>%
arrange(ZA_UWAGI,AM_NAZWISKO,AM_IMIE,-AM_LICZBA_ZAPISOW)
BN_autor$id_grupy <- cumsum(!duplicated(BN_autor[1:3]))
BN_autor <- BN_autor[!duplicated(BN_autor$id_grupy),] %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE,ZA_ADNOTACJE,AM_AUTOR_ID)
#3: tytuł
#pole 245
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 za_tytul <- marc_field_245 %>%
select(ZA_UWAGI,`$a`,`$b`,`$n`,`$p`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = " "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = " "),
`$n` = paste(ifelse(is.na(`$n`),"",as.character(`$n`)),collapse = " "),
`$p` = paste(ifelse(is.na(`$p`),"",as.character(`$p`)),collapse = " ")) %>%
ungroup() %>%
unique() %>%
unite("ZA_TYTUL",`$a`:`$p`,sep = " ",na.rm = TRUE) %>%
mutate(ZA_TYTUL = str_replace_all(ZA_TYTUL," +"," "),
ZA_TYTUL = str_remove(ZA_TYTUL, "\\s+\\/\\s{0,}$"),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = str_replace_all(ZA_TYTUL,"\\.{3} \\.{3}","... "),
ZA_TYTUL = str_replace_all(ZA_TYTUL," ; ",". "),
ZA_TYTUL = gsub("( : )(.)",". \\U\\2",perl=TRUE,ZA_TYTUL)) %>%
select(ZA_UWAGI,ZA_TYTUL)
#4: tytuł oryginału
#pole 246
marc_field_246 <- data %>%
select(ZA_UWAGI,X246)%>%
filter(X246!="") %>%
mutate(X246=str_remove_all(X246,"~"),
X246=str_replace_all(X246,"(^|\\|)","~\\1")) %>%
cSplit(.,"X246",sep = "~",direction = "long") %>%
filter(X246!="") %>%
mutate(X246=str_remove_all(X246,"^\\|")) %>%
mutate(indicator = str_replace_all(X246,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X246,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_246)[1]))
colnames(empty_table) <-subfield_list
marc_field_246<-cbind(marc_field_246,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_246$X246 <- str_replace(marc_field_246$X246,subfield_list_char[i],"|\\1")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_246[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_246$X246),str_replace_all(gsub(string,"\\3",marc_field_246$X246),"\\${2}.", "~"),NA)
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 if("$n" %in% colnames(marc_field_246)) {
marc_field_246 <- marc_field_246[, colSums(is.na(marc_field_246)) != nrow(marc_field_246)] %>%
filter(grepl("oryg",X246)) %>%
select(ZA_UWAGI,`$a`,`$b`,`$n`,`$p`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = ", "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = ""),
`$n` = paste(ifelse(is.na(`$n`),"",as.character(`$n`)),collapse = ""),
`$p` = paste(ifelse(is.na(`$p`),"",as.character(`$p`)),collapse = "")) %>%
ungroup() %>%
unique() %>%
unite("X246",`$a`:`$p`,sep = " ",na.rm = TRUE) %>%
mutate(X246 = str_replace_all(X246," +"," "),
X246 = str_remove(X246, "\\s+\\/\\s{0,}$"),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X246),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( ){0,1}(.)",X246),gsub("(\\W)( )(:|;)( ){0,1}(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = str_replace_all(X246,"\\.{3} \\.{3}","... "),
X246 = gsub("( : )(.)",". \\U\\2",perl=TRUE,X246)) %>%
select(ZA_UWAGI, X246)
} else {
marc_field_246 <- marc_field_246[, colSums(is.na(marc_field_246)) != nrow(marc_field_246)] %>%
filter(grepl("oryg",X246)) %>%
select(ZA_UWAGI,`$a`,`$b`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = ", "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = "")) %>%
ungroup() %>%
unique() %>%
unite("X246",`$a`:`$b`,sep = " ",na.rm = TRUE) %>%
mutate(X246 = str_replace_all(X246," +"," "),
X246 = str_remove(X246, "\\s+\\/\\s{0,}$"),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X246),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( ){0,1}(.)",X246),gsub("(\\W)( )(:|;)( ){0,1}(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = str_replace_all(X246,"\\.{3} \\.{3}","... "),
X246 = gsub("( : )(.)",". \\U\\2",perl=TRUE,X246)) %>%
select(ZA_UWAGI, X246)
}
#pole 500
marc_field_500 <- data %>%
select(ZA_UWAGI,X500)%>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"~"),
X500=str_replace_all(X500,"(^|\\|)","~\\1")) %>%
cSplit(.,"X500",sep = "~",direction = "long") %>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"^\\|")) %>%
mutate(indicator = str_replace_all(X500,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X500,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_500)[1]))
colnames(empty_table) <-subfield_list
marc_field_500<-cbind(marc_field_500,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_500$X500 <- str_replace(marc_field_500$X500,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_500[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_500$X500),str_replace_all(gsub(string,"\\3",marc_field_500$X500),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_500 <- marc_field_500 %>%
filter(grepl("oryg\\.\\:",X500)) %>%
mutate(X500 = str_remove(`$a`,"^Tyt\\. oryg\\.: |^Tyt\\, oryg\\.: |^.*?tyt\\. oryg\\.: "),
X500 = str_remove(X500, "\\s+\\/\\s{0,}$"),
X500 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X500),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X500),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X500),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X500),as.character(X500))))),
X500 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X500),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X500),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X500),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X500),as.character(X500))))),
X500 = str_replace_all(X500,"\\.{3} \\.{3}","... "),
X500 = str_remove(X500, "\\.$"),
X500 = str_remove(X500,"(,{0,1} {0,1})\\d{4}.*$|(, t|. T)yt. oryg. cyklu:")) %>%
select(ZA_UWAGI,X500)
#tytuł oryginału
za_tytul_oryginalu <- data %>%
select(ZA_UWAGI) %>%
left_join(.,marc_field_246,by="ZA_UWAGI") %>%
left_join(.,marc_field_500,by="ZA_UWAGI") %>%
mutate(X500 = ifelse(is.na(X500),NA,
ifelse(grepl("oryg",X500),NA,as.character(X500))),
X500 = ifelse(!is.na(X500)&grepl("\\. - ",X500),str_replace(X500,"(.*?)(\\. - .*$)","\\1"),as.character(X500)),
X500 = ifelse(!is.na(X500)&grepl("Na książce pseud",X500),str_replace(X500,"(.*?)(\\. Na książce pseud.*$)","\\1"),as.character(X500)),
X500 = ifelse(!is.na(X500)&grepl("Przekł\\. wg",X500),str_replace(X500,"(.*?)(\\. Przekł\\. wg.*$)","\\1"),as.character(X500)),
ZA_TYTUL_ORYGINALU = ifelse(is.na(X246)&is.na(X500),NA,
ifelse(!is.na(X500),as.character(X500),as.character(X246))),
ZA_TYTUL_ORYGINALU = str_remove_all(ZA_TYTUL_ORYGINALU,'\\"')) %>%
select(ZA_UWAGI,ZA_TYTUL_ORYGINALU)
#5: język oryginału
marc_field_041 <- data %>%
select(ZA_UWAGI,X041)%>%
filter(X041!="") %>%
mutate(X041=str_replace_all(X041,"(^|\\|)","~\\1")) %>%
cSplit(.,"X041",sep = "~",direction = "long") %>%
filter(X041!="") %>%
mutate(X041=str_remove_all(X041,"^\\|")) %>%
mutate(indicator = str_replace_all(X041,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X041,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_041)[1]))
colnames(empty_table) <-subfield_list
marc_field_041<-cbind(marc_field_041,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_041$X041 <- str_replace(marc_field_041$X041,subfield_list_char[i],"|\\1")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_041[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_041$X041),str_replace_all(gsub(string,"\\3",marc_field_041$X041),"\\${2}.", "~"),NA)
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 za_jezyk_oryginalu <- data %>%
select(ZA_UWAGI) %>%
left_join(.,marc_field_041 %>% select(ZA_UWAGI,ZA_JEZYK_ORYGINALU = `$a`),by="ZA_UWAGI") %>%
mutate(ZA_JEZYK_ORYGINALU = str_replace_all(ZA_JEZYK_ORYGINALU,"\\$a",",")) %>%
unique()
#6: współtwórcy
marc_field_700 <- data %>%
select(ZA_UWAGI,X700)%>%
filter(X700!="") %>%
mutate(X700=str_replace_all(X700,"(..\\$a)","|\\1"),
X700=str_replace_all(X700,"(^|\\|)","~\\1")) %>%
cSplit(.,"X700",sep = "~",direction = "long") %>%
filter(X700!="") %>%
mutate(X700=str_remove_all(X700,"^\\|")) %>%
mutate(indicator = str_replace_all(X700,"(^.*?)(\\$.*)","\\1")) %>%
filter(X700!="")
subfield_list<- str_extract_all(data$X700,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_700)[1]))
colnames(empty_table) <-subfield_list
marc_field_700<-cbind(marc_field_700,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_700$X700 <- str_replace(marc_field_700$X700,subfield_list_char[i],"|\\1")
}Progress: 1 on 9 Progress: 2 on 9 Progress: 3 on 9 Progress: 4 on 9 Progress: 5 on 9 Progress: 6 on 9 Progress: 7 on 9 Progress: 8 on 9 Progress: 9 on 9 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_700[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_700$X700),str_replace_all(gsub(string,"\\3",marc_field_700$X700),"\\${2}.", "~"),NA)
}Progress: 1 on 9 Progress: 2 on 9 Progress: 3 on 9 Progress: 4 on 9 Progress: 5 on 9 Progress: 6 on 9 Progress: 7 on 9 Progress: 8 on 9 Progress: 9 on 9 BN_wspoltworca <- marc_field_700 %>%
select(ZA_UWAGI,osoba = `$a`,funkcja = `$e`) %>%
filter(!is.na(funkcja)) %>%
mutate(osoba = str_remove(osoba,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)"),
OS_NAZWISKO = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\1"),as.character(osoba)),
OS_IMIE = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\3"),"*"),
ws_prosty = str_replace_all(str_to_lower(osoba), "\\W", ""),
fu_prosta = str_replace_all(str_to_lower(funkcja), "\\W", "")) %>%
left_join(.,PBL_wspoltworcy %>% select(OS_OSOBA_ID,OS_LICZBA_ZAPISOW,nazwa_prosta),by=c("ws_prosty"="nazwa_prosta")) %>%
arrange(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,-OS_LICZBA_ZAPISOW)
BN_wspoltworca$id_grupy <- cumsum(!duplicated(BN_wspoltworca[1:2]))
BN_wspoltworca <- BN_wspoltworca[!duplicated(BN_wspoltworca$id_grupy),] %>%
left_join(.,PBL_funkcje,by=c("fu_prosta"="nazwa")) %>%
mutate(fo_symbol = ifelse(fo_symbol=="NULL",NA,as.character(fo_symbol))) %>%
select(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,OS_OSOBA_ID,fo_symbol,fo_nazwa,funkcja)
#tutaj przeszukać X245 i znaleźć błędy współtwórców
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 marc_field_245 <- marc_field_245 %>%
select(ZA_UWAGI,X245c=`$c`)
BN_wspoltworca <- BN_wspoltworca %>%
left_join(.,marc_field_245,by="ZA_UWAGI")
x <- 1:lengths(BN_wspoltworca[1])
for (i in x) {
progress(match(i,x), max.value = length(x))
BN_wspoltworca$czy_nazwisko[i] <- str_detect(BN_wspoltworca$X245c[i],BN_wspoltworca$OS_NAZWISKO[i])
BN_wspoltworca$czy_imie[i] <- grepl(BN_wspoltworca$OS_IMIE[i],BN_wspoltworca$X245c[i])
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Progress: 1523 on 1545 Progress: 1524 on 1545 Progress: 1525 on 1545 Progress: 1526 on 1545 Progress: 1527 on 1545 Progress: 1528 on 1545 Progress: 1529 on 1545 Progress: 1530 on 1545 Progress: 1531 on 1545 Progress: 1532 on 1545 Progress: 1533 on 1545 Progress: 1534 on 1545 Progress: 1535 on 1545 Progress: 1536 on 1545 Progress: 1537 on 1545 Progress: 1538 on 1545 Progress: 1539 on 1545 Progress: 1540 on 1545 Progress: 1541 on 1545 Progress: 1542 on 1545 Progress: 1543 on 1545 Progress: 1544 on 1545 Progress: 1545 on 1545 BN_wspoltworca <- BN_wspoltworca %>%
mutate(ZA_ADNOTACJE = ifelse(czy_nazwisko==FALSE|czy_imie==FALSE,paste("UWAGA! Konflikt w danych osobowych w polach 700 i 245. Porównaj pola współtórców w formularzu z polem BN: ",X245c,sep = ""),NA)) %>%
select(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,OS_OSOBA_ID,fo_symbol,fo_nazwa,funkcja,ZA_ADNOTACJE)
#7: opis współtwórców
opis_wspoltworcow <- BN_wspoltworca %>%
select(ZA_UWAGI,funkcja,OS_IMIE,OS_NAZWISKO) %>%
full_join(.,marc_field_245,by="ZA_UWAGI") %>%
filter(!is.na(OS_NAZWISKO)|(is.na(OS_NAZWISKO)&grepl("et al\\.",X245c))) %>%
mutate(jest_et_al = grepl("et al\\.",X245c),
OS_IMIE = ifelse(OS_IMIE=="*","",as.character(OS_IMIE)),
opis = ifelse(!is.na(OS_NAZWISKO),paste(funkcja,OS_IMIE, OS_NAZWISKO, sep = " "),""),
opis = str_replace_all(opis," +"," "),
opis = ifelse(opis==" ","",as.character(opis))) %>%
select(ZA_UWAGI,opis,jest_et_al) %>%
group_by(ZA_UWAGI) %>%
mutate(opis = paste(opis,collapse = ", "),
jest_et_al = paste(unique(jest_et_al),sep = "")) %>%
ungroup() %>%
unique() %>%
mutate(opis = ifelse(jest_et_al==TRUE&opis=="","et al.",
ifelse(jest_et_al,paste(opis,"et al.",sep = " "),opis))) %>%
select(ZA_UWAGI,opis)
#700
marc_field_700 <- data %>%
select(ZA_UWAGI,X700)%>%
filter(X700!="") %>%
mutate(X700=str_replace_all(X700,"(..\\$a)","|\\1"),
X700=str_replace_all(X700,"(^|\\|)","~\\1")) %>%
cSplit(.,"X700",sep = "~",direction = "long") %>%
filter(X700!="") %>%
mutate(X700=str_remove_all(X700,"^\\|")) %>%
mutate(indicator = str_replace_all(X700,"(^.*?)(\\$.*)","\\1")) %>%
filter(X700!="")
subfield_list<- str_extract_all(data$X700,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_700)[1]))
colnames(empty_table) <-subfield_list
marc_field_700<-cbind(marc_field_700,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_700$X700 <- str_replace(marc_field_700$X700,subfield_list_char[i],"|\\1")
}Progress: 1 on 9 Progress: 2 on 9 Progress: 3 on 9 Progress: 4 on 9 Progress: 5 on 9 Progress: 6 on 9 Progress: 7 on 9 Progress: 8 on 9 Progress: 9 on 9 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_700[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_700$X700),str_replace_all(gsub(string,"\\3",marc_field_700$X700),"\\${2}.", "~"),NA)
}Progress: 1 on 9 Progress: 2 on 9 Progress: 3 on 9 Progress: 4 on 9 Progress: 5 on 9 Progress: 6 on 9 Progress: 7 on 9 Progress: 8 on 9 Progress: 9 on 9 marc_field_700 <- marc_field_700 %>%
select(ZA_UWAGI,osoba = `$a`,funkcja = `$e`) %>%
filter(!is.na(funkcja)) %>%
mutate(osoba = str_remove(osoba,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)"),
OS_NAZWISKO = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\1"),as.character(osoba)),
OS_IMIE = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\3"),"*"),
funkcja_duza = str_to_lower(funkcja),
opis = paste(funkcja_duza,OS_IMIE,OS_NAZWISKO, sep = " "),
opis_duzy = paste(funkcja,OS_IMIE,OS_NAZWISKO, sep = " ")) %>%
select(ZA_UWAGI,opis,opis_duzy) %>%
group_by(ZA_UWAGI) %>%
mutate(opis = paste(opis,collapse = ". "),
opis_duzy = paste(opis_duzy,collapse = ". ")) %>%
ungroup() %>%
unique()
#opis współtwórców ze strefy odpowiedzialności 245
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 marc_field_245 <- marc_field_245 %>%
select(ZA_UWAGI,`$c`)
#porównanie opisu współtwórców z 245 i 700
wspoltworcy <- marc_field_700 %>%
full_join(.,marc_field_245,by="ZA_UWAGI") %>%
cSplit(.,"$c",sep = " ; ",direction = "long") %>%
#ograniczanie osób ze strefy odpowiedzialności
mutate(czy_mala = grepl(" [a-zęóąśłżźćń]|^[a-zęóąśłżźćń]|\\[[a-zęóąśłżźćń]",`$c`,ignore.case = FALSE)) %>%
filter(czy_mala==TRUE) %>%
select(-czy_mala) %>%
#mutate(`$c` = gsub("^(\\[){0,1}([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])","\\1\\U\\2",perl = TRUE,`$c`)) %>%
group_by(ZA_UWAGI) %>%
mutate(X245 = paste(`$c`, collapse = ", ")) %>%
select(-`$c`) %>%
unique() %>%
mutate(order_pbl = as.character(str_extract_all(opis,"(?<=^| |\\[|-)([A-ZAÁÀÂÃÄĂĀÅĄÆEÉÈÊËĚĒĖĘIÍÌÎÏĪĮIOÓÒÔÕÖŐØŒUÚÙÛÜŰŪůYÝCĆČçDĎĐĐGĢĞKĶLŁĻNŃÑŇŅŊRŘSŚŠŞSßTŤŦÞŢ8ZŻŹŽa-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])")),
order_pbl = str_replace_all(order_pbl,"(.*?\")(.)(\".*?.)", "\\2"),
order_bn = as.character(str_extract_all(X245,"(?<=^| |\\[|-)([A-ZAÁÀÂÃÄĂĀÅĄÆEÉÈÊËĚĒĖĘIÍÌÎÏĪĮIOÓÒÔÕÖŐØŒUÚÙÛÜŰŪůYÝCĆČçDĎĐĐGĢĞKĶLŁĻNŃÑŇŅŊRŘSŚŠŞSßTŤŦÞŢ8ZŻŹŽa-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])")),
order_bn = str_replace_all(order_bn,"(.*?\")(.)(\".*?.)", "\\2"),
X245 = str_remove(X245, "\\.$"),
X245 = str_remove(X245, "\\["),
X245 = str_remove(X245, "\\]"),
order_pbl = str_remove_all(order_pbl, "[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]"),
order_bn = str_remove_all(order_bn, "[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]"),
to_samo = order_pbl==order_bn,
X245 = gsub("(^[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(.*)","\\U\\1\\E\\2",perl = TRUE, X245)) %>%
left_join(.,za_jezyk_oryginalu,by="ZA_UWAGI") %>%
mutate(czy_pl = grepl("pol",ZA_JEZYK_ORYGINALU)|is.na(ZA_JEZYK_ORYGINALU),
decyzja = ifelse(to_samo==FALSE|czy_pl==FALSE,FALSE,TRUE))
za_opis_wspoltworcow <- wspoltworcy %>%
mutate(za_opis_wspoltworcow = ifelse(decyzja==TRUE,as.character(X245),paste(X245,opis_duzy,sep = "#"))) %>%
select(ZA_UWAGI,opis_duzy,za_opis_wspoltworcow) %>%
cSplit(.,"za_opis_wspoltworcow",sep = "#",direction = "wide") %>%
mutate(za_opis_wspoltworcow_2 = ifelse(is.na(za_opis_wspoltworcow_2),'',as.character(za_opis_wspoltworcow_2)),
to_samo = za_opis_wspoltworcow_1==za_opis_wspoltworcow_2) %>%
filter(to_samo==FALSE) %>%
group_by(ZA_UWAGI) %>%
mutate(za_opis_wspoltworcow = paste(za_opis_wspoltworcow_1,za_opis_wspoltworcow_2,sep = "#"),
za_opis_wspoltworcow = str_remove_all(za_opis_wspoltworcow,"\\#$")) %>%
select(ZA_UWAGI,za_opis_wspoltworcow)
opis_wspoltworcow <- opis_wspoltworcow %>%
filter(ZA_UWAGI %notin% za_opis_wspoltworcow$ZA_UWAGI) %>%
filter(!is.na(opis)) %>%
rename(za_opis_wspoltworcow = opis)
za_opis_wspoltworcow <- za_opis_wspoltworcow %>%
bind_rows(.,opis_wspoltworcow) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#8 wydanie
marc_field_250 <- data %>%
select(ZA_UWAGI,X250)%>%
filter(X250!="") %>%
mutate(X250=str_replace_all(X250,"(^|\\|)","~\\1")) %>%
cSplit(.,"X250",sep = "~",direction = "long") %>%
filter(X250!="") %>%
mutate(X250=str_remove_all(X250,"^\\|")) %>%
mutate(indicator = str_replace_all(X250,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X250,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_250)[1]))
colnames(empty_table) <-subfield_list
marc_field_250<-cbind(marc_field_250,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_250$X250 <- str_replace(marc_field_250$X250,subfield_list_char[i],"|\\1")
}Progress: 1 on 2 Progress: 2 on 2 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_250[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_250$X250),str_replace_all(gsub(string,"\\3",marc_field_250$X250),"\\${2}.", "~"),NA)
}Progress: 1 on 2 Progress: 2 on 2 za_wydanie <- marc_field_250 %>%
select(ZA_UWAGI, wydanie = `$a`) %>%
mutate(wydanie = str_remove(wydanie," \\/$")) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#9: instytucja sprawcza
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 za_instytucja <- marc_field_245 %>%
select(ZA_UWAGI,X245c=`$c`) %>%
filter(!is.na(X245c)) %>%
mutate(instytucja = ifelse(grepl("\\;",X245c),str_replace_all(X245c, "(.*?)(\\;(?!.*\\;))( )+(.*?$)","\\4"),"")) %>%
left_join(.,BN_wspoltworca,by="ZA_UWAGI")
x <- 1:lengths(za_instytucja[1])
for (i in x) {
progress(match(i,x), max.value = length(x))
za_instytucja$czy_nazwisko[i] <- grepl(za_instytucja$OS_NAZWISKO[i],za_instytucja$X245c[i])
za_instytucja$czy_imie[i] <- grepl(za_instytucja$OS_IMIE[i],za_instytucja$X245c[i])
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2476 on 2502 Progress: 2477 on 2502 Progress: 2478 on 2502 Progress: 2479 on 2502 Progress: 2480 on 2502 Progress: 2481 on 2502 Progress: 2482 on 2502 Progress: 2483 on 2502 Progress: 2484 on 2502 Progress: 2485 on 2502 Progress: 2486 on 2502 Progress: 2487 on 2502 Progress: 2488 on 2502 Progress: 2489 on 2502 Progress: 2490 on 2502 Progress: 2491 on 2502 Progress: 2492 on 2502 Progress: 2493 on 2502 Progress: 2494 on 2502 Progress: 2495 on 2502 Progress: 2496 on 2502 Progress: 2497 on 2502 Progress: 2498 on 2502 Progress: 2499 on 2502 Progress: 2500 on 2502 Progress: 2501 on 2502 Progress: 2502 on 2502 za_instytucja <- za_instytucja %>%
filter(is.na(czy_nazwisko)&is.na(czy_imie)) %>%
filter(instytucja!="") %>%
filter(!grepl("^\\[[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]|^[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]",instytucja)) %>%
mutate(instytucja = str_remove(instytucja,"\\.$")) %>%
select(ZA_UWAGI,instytucja) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#10: wydawnictwo
BN_wydawnictwo <- data %>%
select(ZA_UWAGI, X260) %>%
mutate(X260 = str_replace_all(X260,"s\\.n\\.", "b.w."),
X260 = str_replace_all(X260,"s\\.l\\.", "b.m."),
X260 = str_replace_all(X260,"S\\.l\\.", "b.m."),
X260 = str_remove(X260,"^\\\\+"),
rok_wydania = str_extract_all(X260, "(?<=\\$c).*(?=\\$e)|(?<=\\$c).*"),
bez_roku = str_replace_all(X260, ".\\$c.*", ""),
ile_wydawnictw = str_count(bez_roku, "\\$b"),
ile_miejsc = str_count(bez_roku, "\\$a"),
kolejnosc = str_replace_all(as.character(str_extract_all(bez_roku, "\\$.")), "[^a-z]", ""),
bez_roku = str_replace_all(bez_roku, ";\\$b", ":$b"),
wydaw_podziel = ifelse(ile_wydawnictw>ile_miejsc|kolejnosc=="caabb", str_replace_all(bez_roku, "(\\$a)(.*?)( :\\$b.*?)( :\\$b)", "\\1\\2\\3 ;$a\\2\\4"),bez_roku),
wydawnictwo_test = str_replace_all(wydaw_podziel, "(\\$b)(.*?)( ;\\$a)", "\\1\\2|\\3")) %>%
select(ZA_UWAGI,rok_wydania,wydawnictwo_test) %>%
cSplit(., "wydawnictwo_test", sep = "|", direction = "long") %>%
mutate(wydawnictwo = str_extract_all(wydawnictwo_test, "(?<=\\$b)(.*)"),
miejsce_wydania = str_replace_all(str_extract_all(wydawnictwo_test, "(?<=\\$a)(.*)(?= {0,1}: {0,1}\\$b)|(?<=\\$a)(.*)($)")," ;\\$a", ", "),
nazwa_prosta = str_to_lower(str_replace_all(str_replace_all(unlist(wydawnictwo_test), "\\$\\w", ""), "\\W", ""))) %>%
left_join(.,PBL_wydawnictwa,by="nazwa_prosta") %>%
mutate(to_samo = wydawnictwo==WY_NAZWA) %>%
arrange(ZA_UWAGI,-to_samo,-WY_LICZBA_ZAPISOW)argument is not an atomic vector; coercingBN_wydawnictwo$id_grupy <- cumsum(!duplicated(BN_wydawnictwo[1:3]))
BN_wydawnictwo <- BN_wydawnictwo[!duplicated(BN_wydawnictwo$id_grupy),] %>%
mutate(WY_NAZWA = ifelse(!is.na(WY_NAZWA),as.character(WY_NAZWA),as.character(wydawnictwo)),
WY_MIASTO = ifelse(!is.na(WY_MIASTO),as.character(WY_MIASTO),trim(as.character(miejsce_wydania))),
rok_wydania = str_replace_all(rok_wydania, "(.*)(\\.)", "\\1"),
za_rok_wydania = ifelse(nchar(rok_wydania)==4,as.character(rok_wydania),NA),
do_opisu = ifelse(is.na(za_rok_wydania),paste("[",str_extract(rok_wydania,"\\d{4}"),"]",sep = ""),""),
WY_MIASTO = ifelse(substr(WY_MIASTO,1,1)=="["&substr(WY_MIASTO,nchar(WY_MIASTO),nchar(WY_MIASTO))!="]"&is.na(WY_WYDAWNICTWO_ID),paste(trim(WY_MIASTO),"]",sep = ""),as.character(WY_MIASTO))) %>%
select(ZA_UWAGI,WY_WYDAWNICTWO_ID,WY_NAZWA,WY_MIASTO,za_rok_wydania,do_opisu) %>%
mutate(WY_NAZWA = ifelse(str_count(WY_NAZWA, "\\[")>str_count(WY_NAZWA, "\\]"), paste(WY_NAZWA, "]", sep = ""),
ifelse(str_count(WY_NAZWA, "\\[")<str_count(WY_NAZWA, "\\]"), paste("[", WY_NAZWA, sep = ""), as.character(WY_NAZWA))),
WY_MIASTO = ifelse(str_count(WY_MIASTO, "\\[")>str_count(WY_MIASTO, "\\]"), paste(WY_MIASTO, "]", sep = ""),
ifelse(str_count(WY_MIASTO, "\\[")<str_count(WY_MIASTO, "\\]"), paste("[", WY_MIASTO, sep = ""), as.character(WY_MIASTO))))
#11: opis fizyczny książki
#pole 300 do opisu fizycznego
marc_field_300 <- data %>%
select(ZA_UWAGI,X300)%>%
filter(X300!="") %>%
mutate(X300=str_replace_all(X300,"(^|\\|)","~\\1")) %>%
cSplit(.,"X300",sep = "~",direction = "long") %>%
filter(X300!="") %>%
mutate(X300=str_remove_all(X300,"^\\|")) %>%
mutate(indicator = str_replace_all(X300,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X300,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_300)[1]))
colnames(empty_table) <-subfield_list
marc_field_300<-cbind(marc_field_300,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_300$X300 <- str_replace(marc_field_300$X300,subfield_list_char[i],"|\\1")
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_300[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_300$X300),str_replace_all(gsub(string,"\\3",marc_field_300$X300),"\\${2}.", "~"),NA)
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 marc_field_300 <- marc_field_300 %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"),
`$b` = str_remove(`$b`," \\;+$| \\:+$"),
`$e` = ifelse(grepl("CD-ROM|DVD|VCD|CD",`$e`)&grepl("\\+ dysk|płyt",`$e`),str_extract(`$e`,"(?<=\\+)(dysk|płyt.*?)(CD-ROM|DVD|VCD|CD)(\\)){0,1}"),
ifelse(grepl("CD-ROM|DVD|VCD|CD",`$e`),str_extract(`$e`,"(^.*?)(CD-ROM|DVD|VCD|CD)(\\)){0,1}"),NA)),
`$a` = ifelse(is.na(`$a`),"",as.character(`$a`)),
`$b` = ifelse(is.na(`$b`),"",as.character(`$b`)),
`$e` = ifelse(is.na(`$e`),"",as.character(`$e`)))
#pole 500 do opisu fizycznego
marc_field_500 <- data %>%
select(ZA_UWAGI,X500)%>%
filter(X500!="") %>%
mutate(X500=str_replace_all(X500,"(^|\\|)","~\\1")) %>%
cSplit(.,"X500",sep = "~",direction = "long") %>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"^\\|")) %>%
mutate(indicator = str_replace_all(X500,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X500,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_500)[1]))
colnames(empty_table) <-subfield_list
marc_field_500<-cbind(marc_field_500,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_500$X500 <- str_replace(marc_field_500$X500,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_500[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_500$X500),str_replace_all(gsub(string,"\\3",marc_field_500$X500),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_500 <- marc_field_500 %>%
mutate(`$a` = ifelse(grepl("oryg(\\.|\\,)",X500)&grepl("pseud|nazwa",X500,ignore.case = TRUE),str_replace(`$a`,"(^.*?)(\\. )(\\p{Lu}.*$)","\\3"),as.character(`$a`))) %>%
filter(!grepl("oryg(\\.|\\,)",`$a`)&grepl("pseud|nazwa|dotycz|pol",`$a`,ignore.case = TRUE)) %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"))
#pole 546 do opisu fizycznego
marc_field_546 <- data %>%
select(ZA_UWAGI,X546)%>%
filter(X546!="") %>%
mutate(X546=str_replace_all(X546,"(^|\\|)","~\\1")) %>%
cSplit(.,"X546",sep = "~",direction = "long") %>%
filter(X546!="") %>%
mutate(X546=str_remove_all(X546,"^\\|")) %>%
mutate(indicator = str_replace_all(X546,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X546,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_546)[1]))
colnames(empty_table) <-subfield_list
marc_field_546<-cbind(marc_field_546,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_546$X546 <- str_replace(marc_field_546$X546,subfield_list_char[i],"|\\1")
}Progress: 1 on 2 Progress: 2 on 2 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_546[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_546$X546),str_replace_all(gsub(string,"\\3",marc_field_546$X546),"\\${2}.", "~"),NA)
}Progress: 1 on 2 Progress: 2 on 2 marc_field_546 <- marc_field_546 %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"))
#pole 501 do opisu fizycznego
marc_field_501 <- data %>%
select(ZA_UWAGI,X501)%>%
filter(X501!="") %>%
mutate(X501=str_replace_all(X501,"(^|\\|)","~\\1")) %>%
cSplit(.,"X501",sep = "~",direction = "long") %>%
filter(X501!="") %>%
mutate(X501=str_remove_all(X501,"^\\|")) %>%
mutate(indicator = str_replace_all(X501,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X501,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_501)[1]))
colnames(empty_table) <-subfield_list
marc_field_501<-cbind(marc_field_501,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_501$X501 <- str_replace(marc_field_501$X501,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_501[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_501$X501),str_replace_all(gsub(string,"\\3",marc_field_501$X501),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_501 <- marc_field_501 %>%
select(ZA_UWAGI, `$a`)
za_opis_ks <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wydawnictwo %>% select(ZA_UWAGI,do_opisu),by="ZA_UWAGI") %>%
left_join(.,marc_field_300 %>% select(ZA_UWAGI,X300a=`$a`,X300b=`$b`,X300e=`$e`),by="ZA_UWAGI") %>%
left_join(.,marc_field_500 %>% select(ZA_UWAGI,X500a=`$a`),by="ZA_UWAGI") %>%
left_join(.,marc_field_546 %>% select(ZA_UWAGI,X546a=`$a`),by="ZA_UWAGI") %>%
left_join(.,marc_field_501 %>% select(ZA_UWAGI,X501a=`$a`),by="ZA_UWAGI")
za_opis_ks[is.na(za_opis_ks)] <- ""
za_opis_ks <- za_opis_ks %>%
mutate(za_opis_ks = paste(ifelse(do_opisu!="",paste(as.character(do_opisu),", ",sep = ""),""),ifelse(X300a!="",paste(as.character(X300a),", ",sep = ""),""),ifelse(X300b!="",paste(as.character(X300b),", ",sep = ""),""),ifelse(X300e!="",paste(as.character(X300e),", ",sep = ""),""),ifelse(X500a!="",paste(as.character(X500a),", ",sep = ""),""),ifelse(X546a!="",as.character(X546a),""),ifelse(X501a!="",as.character(X501a),""),sep = ""),
za_opis_ks = str_remove(za_opis_ks,"(, )+$")) %>%
select(ZA_UWAGI,za_opis_ks) %>%
unique() %>%
arrange(ZA_UWAGI,-nchar(za_opis_ks))
za_opis_ks$id_grupy <- cumsum(!duplicated(za_opis_ks[1]))
za_opis_ks <- za_opis_ks[!duplicated(za_opis_ks$id_grupy),] %>%
select(-id_grupy)
#12: seria wydawnicza
marc_field_490 <- data %>%
select(ZA_UWAGI,X490,X800,X830) %>%
mutate(X490 = ifelse(grepl("U\\+",X490),as.character(X830),as.character(X490))) %>%
mutate(X800 = ifelse(X490!="","",as.character(X800)),
X830 = ifelse(X490!="","",as.character(X830)),
X800 = str_replace(X800,"(\\$a)(.*)(\\$t)","\\1"),
X490 = ifelse(X490==""&X830!="",as.character(X830),
ifelse(X490==""&X800!="",as.character(X800),as.character(X490)))) %>%
select(ZA_UWAGI,X490) %>%
filter(X490!="") %>%
mutate(X490=str_replace_all(X490,"(^|\\|)","~\\1")) %>%
cSplit(.,"X490",sep = "~",direction = "long") %>%
filter(X490!="") %>%
mutate(X490=str_remove_all(X490,"^\\|")) %>%
mutate(indicator = str_replace_all(X490,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X490,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_490)[1]))
colnames(empty_table) <-subfield_list
marc_field_490<-cbind(marc_field_490,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_490$X490 <- str_replace(marc_field_490$X490,subfield_list_char[i],"|\\1")
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_490[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_490$X490),str_replace_all(gsub(string,"\\3",marc_field_490$X490),"\\${2}.", "~"),NA)
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 za_seria_wydawnicza <- marc_field_490 %>%
mutate(`$a` = str_replace_all(`$a`,"(=)(\\$a)","\\1 "),
`$a` = str_remove(`$a`," \\;+$| \\:+$"),
`$v` = ifelse(is.na(`$v`),"",as.character(`$v`))) %>%
filter(!is.na(`$a`)) %>%
mutate(seria = str_remove(paste("(",`$a`,"; ",`$v`,")",sep = ""),"; (?=\\)$)"),
seria = gsub("( : )(.)",". \\U\\2",perl=TRUE,seria)) %>%
select(ZA_UWAGI,seria) %>%
group_by(ZA_UWAGI) %>%
mutate(seria = paste(seria,collapse = " ")) %>%
ungroup() %>%
unique() %>%
mutate(seria = str_replace_all(seria,"\\$.","; ")) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#13: tomy
za_tomy <- data %>%
select(ZA_UWAGI) %>%
mutate(za_tomy = NA)
#14: adnotacje
za_adnotacje <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_autor %>% select(ZA_UWAGI,ZA_ADNOTACJE),by="ZA_UWAGI") %>%
left_join(.,BN_wspoltworca %>% select(ZA_UWAGI,ZA_ADNOTACJE),by="ZA_UWAGI") %>%
mutate(ZA_ADNOTACJE = paste(ifelse(is.na(ZA_ADNOTACJE.x),"",paste(as.character(ZA_ADNOTACJE.x),"# ",sep = "")),ifelse(is.na(ZA_ADNOTACJE.y),"",as.character(ZA_ADNOTACJE.y)),sep = ""),
ZA_ADNOTACJE = str_remove(ZA_ADNOTACJE,"(# )+$")) %>%
select(ZA_UWAGI,ZA_ADNOTACJE) %>%
unique() %>%
arrange(ZA_UWAGI,-nchar(ZA_ADNOTACJE))
za_adnotacje$id_grupy <- cumsum(!duplicated(za_adnotacje[1]))
za_adnotacje <- za_adnotacje[!duplicated(za_adnotacje$id_grupy),] %>%
select(-id_grupy)
#15: BN_URL
BN_URL <- data %>%
select(ZA_UWAGI,BN_URL)
#wyrównanie liczby wierszy do liczby wierszy obiektu data
BN_autor <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_autor %>% select(ZA_UWAGI,AM_AUTOR_ID,AM_NAZWISKO,AM_IMIE),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, AM_AUTOR_ID = paste(AM_AUTOR_ID, collapse="|"), AM_NAZWISKO = paste(AM_NAZWISKO, collapse="|"), AM_IMIE = paste(AM_IMIE, collapse="|"))
BN_wspoltworca <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wspoltworca %>% select(ZA_UWAGI,OS_OSOBA_ID,OS_NAZWISKO,OS_IMIE,fo_symbol),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, OS_OSOBA_ID = paste(OS_OSOBA_ID, collapse="|"), OS_NAZWISKO = paste(OS_NAZWISKO, collapse="|"), OS_IMIE = paste(OS_IMIE, collapse="|"), fo_symbol = paste(fo_symbol, collapse="|")) %>%
mutate(fo_symbol = ifelse(fo_symbol=="NULL","NA",as.character(fo_symbol)))
BN_wydawnictwo <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wydawnictwo %>% select(ZA_UWAGI,WY_WYDAWNICTWO_ID,WY_NAZWA,WY_MIASTO,za_rok_wydania),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, WY_WYDAWNICTWO_ID = paste(WY_WYDAWNICTWO_ID, collapse="|"), WY_NAZWA = paste(WY_NAZWA, collapse="|"), WY_MIASTO = paste(WY_MIASTO, collapse="|"), za_rok_wydania = paste(unique(za_rok_wydania), collapse="|")) %>%
mutate(za_rok_wydania = ifelse(za_rok_wydania=="NA","",as.integer(za_rok_wydania)))pojawi戼㸳y si攼㹡 warto㤼㹣ci NA na skutek przekszta戼㸳cenia#połączenie wszystkich elementów w jedną tabelę
kolejnosc <- data.frame(kolejnosc=c("ZA_UWAGI","RZ_NAZWA","ZA_RO_ROK","ZA_TYPE","RZ_RODZAJ_ID","DZ_NAZWA","DZ_DZIAL_ID","TW_TWORCA_ID","AM_AUTOR_ID","AM_NAZWISKO","AM_IMIE","ZA_TYTUL","ZA_TYTUL_ORYGINALU","ZA_JEZYK_ORYGINALU","OS_OSOBA_ID","OS_NAZWISKO","OS_IMIE","fo_symbol","za_opis_wspoltworcow","wydanie","za_tomy","instytucja","WY_WYDAWNICTWO_ID","WY_MIASTO","WY_NAZWA","za_rok_wydania","za_opis_ks","seria","TW_NAZWISKO","TW_IMIE","redaktor_dzialu","ZA_ADNOTACJE","BN_URL"))
polaczone <- data %>%
select(ZA_UWAGI) %>%
left_join(.,pola_pbl,by = "ZA_UWAGI") %>%
left_join(.,BN_autor,by = "ZA_UWAGI") %>%
left_join(.,za_tytul,by = "ZA_UWAGI") %>%
left_join(.,za_tytul_oryginalu,by = "ZA_UWAGI") %>%
left_join(.,za_jezyk_oryginalu,by = "ZA_UWAGI") %>%
left_join(.,BN_wspoltworca,by = "ZA_UWAGI") %>%
left_join(.,za_opis_wspoltworcow,by = "ZA_UWAGI") %>%
left_join(.,za_wydanie,by = "ZA_UWAGI") %>%
left_join(.,za_instytucja,by = "ZA_UWAGI") %>%
left_join(.,BN_wydawnictwo,by = "ZA_UWAGI") %>%
left_join(.,za_opis_ks,by = "ZA_UWAGI") %>%
left_join(.,za_seria_wydawnicza,by = "ZA_UWAGI") %>%
left_join(.,za_tomy,by = "ZA_UWAGI") %>%
left_join(.,za_adnotacje,by = "ZA_UWAGI") %>%
left_join(.,BN_URL,by = "ZA_UWAGI") %>%
select(as.vector(kolejnosc$kolejnosc))
colnames(polaczone) <- c("rekord_BN","rz_nazwa","za_ro_rok","za_type","rz_rodzaj_id","DZ_NAZWA","DZ_DZIAL_ID","tw_tworca_id","am_autor_id","am_nazwisko","am_imie","za_tytul","za_tytul_oryginalu","za_jezyk_oryginalu","os_osoba_id","os_nazwisko","os_imie","fo_symbol","za_opis_wspoltworcow","za_wydanie","za_tomy","za_instytucja","wy_wydawnictwo_id","wy_miejsce","wy_nazwa","za_rok_wydania","za_opis_fizyczny_ksiazki","za_seria_wydawnicza","tw_nazwisko","tw_imie","pracownik","za_adnotacje","BN_URL")
#zasygnalizowanie niepoprawnego kodowania
x <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("<U\\+(....)>",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)!=0,paste(polaczone$za_adnotacje,paste("UWAGA! Błąd kodowania w polu ",as.character(names(polaczone[i]))," Znajdź frazę \"???\" i zredaguj pole",sep = ""),sep = "# "),paste("UWAGA! Błąd kodowania w polu ",as.character(names(polaczone[i]))," Znajdź frazę \"???\" i zredaguj pole",sep = "")),as.character(polaczone$za_adnotacje))
polaczone[,i] <- gsub("<U\\+(....)>", "???", polaczone[,i])
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności znaku $ w którymś z pól
X <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("\\$",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)==0,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano znak \"$\". Zredaguj treść pola.",sep = ""),paste(polaczone$za_adnotacje,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano znak \"$\". Zredaguj treść pola.",sep = ""),sep = "# ")),as.character(polaczone$za_adnotacje))
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności frazy "character(0)" w którymś z pól
X <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("character\\(0\\)",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)==0,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano frazę \"character(0)\". Zredaguj treść pola.",sep = ""),paste(polaczone$za_adnotacje,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano frazę \"character(0)\". Zredaguj treść pola.",sep = ""),sep = "# ")),as.character(polaczone$za_adnotacje))
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności znaku # w opisie współtwórców
polaczone$za_adnotacje <- ifelse(grepl("\\#",polaczone$za_opis_wspoltworcow),
ifelse(nchar(polaczone$za_adnotacje)==0,"UWAGA! Ze względu na konflikt w opisie współtwórców wybierz właściwą wartość (strefa odpowiedzialności \"#\" współtwórcy z pola 700)",paste(polaczone$za_adnotacje,"UWAGA! Ze względu na konflikt w opisie współtwórców wybierz właściwą wartość (strefa odpowiedzialności # współtwórcy z pola 700)",sep = "# ")),as.character(polaczone$za_adnotacje))
out <- cSplit(polaczone, c("am_autor_id", "am_nazwisko", "am_imie","os_osoba_id","os_nazwisko", "os_imie", "fo_symbol","wy_wydawnictwo_id","wy_miejsce","wy_nazwa"),sep = "|",direction = "long") %>%
unique()
out$rekord_BN <- ifelse(is.na(out$rekord_BN),'',as.character(out$rekord_BN))
out$rz_nazwa <- ifelse(is.na(out$rz_nazwa),'',as.character(out$rz_nazwa))
out$za_ro_rok <- ifelse(is.na(out$za_ro_rok),'',as.character(out$za_ro_rok))
out$za_type <- ifelse(is.na(out$za_type),'',as.character(out$za_type))
out$rz_rodzaj_id <- ifelse(is.na(out$rz_rodzaj_id),'',as.character(out$rz_rodzaj_id))
out$DZ_NAZWA <- ifelse(is.na(out$DZ_NAZWA),'',as.character(out$DZ_NAZWA))
out$DZ_DZIAL_ID <- ifelse(is.na(out$DZ_DZIAL_ID),'',as.character(out$DZ_DZIAL_ID))
out$tw_tworca_id <- ifelse(is.na(out$tw_tworca_id),'',as.character(out$tw_tworca_id))
out$am_autor_id <- ifelse(is.na(out$am_autor_id),'',as.character(out$am_autor_id))
out$am_nazwisko <- ifelse(is.na(out$am_nazwisko),'',as.character(out$am_nazwisko))
out$am_imie <- ifelse(is.na(out$am_imie),'',as.character(out$am_imie))
out$za_tytul <- ifelse(is.na(out$za_tytul),'',as.character(out$za_tytul))
out$za_tytul_oryginalu <- ifelse(is.na(out$za_tytul_oryginalu),'',as.character(out$za_tytul_oryginalu))
out$za_jezyk_oryginalu <- ifelse(is.na(out$za_jezyk_oryginalu),'',as.character(out$za_jezyk_oryginalu))
out$os_osoba_id <- ifelse(is.na(out$os_osoba_id),'',as.character(out$os_osoba_id))
out$os_nazwisko <- ifelse(is.na(out$os_nazwisko),'',as.character(out$os_nazwisko))
out$os_imie <- ifelse(is.na(out$os_imie),'',as.character(out$os_imie))
out$fo_symbol <- ifelse(is.na(out$fo_symbol),'',as.character(out$fo_symbol))
out$za_opis_wspoltworcow <- ifelse(is.na(out$za_opis_wspoltworcow),'',as.character(out$za_opis_wspoltworcow))
out$za_wydanie <- ifelse(is.na(out$za_wydanie),'',as.character(out$za_wydanie))
out$za_tomy <- ifelse(is.na(out$za_tomy),'',as.character(out$za_tomy))
out$za_instytucja <- ifelse(is.na(out$za_instytucja),'',as.character(out$za_instytucja))
out$wy_wydawnictwo_id <- ifelse(is.na(out$wy_wydawnictwo_id),'',as.character(out$wy_wydawnictwo_id))
out$wy_miejsce <- ifelse(is.na(out$wy_miejsce),'',as.character(out$wy_miejsce))
out$wy_nazwa <- ifelse(is.na(out$wy_nazwa),'',as.character(out$wy_nazwa))
out$za_rok_wydania <- ifelse(is.na(out$za_rok_wydania),'',as.character(out$za_rok_wydania))
out$za_opis_fizyczny_ksiazki <- ifelse(is.na(out$za_opis_fizyczny_ksiazki),'',as.character(out$za_opis_fizyczny_ksiazki))
out$za_seria_wydawnicza <- ifelse(is.na(out$za_seria_wydawnicza),'',as.character(out$za_seria_wydawnicza))
out$tw_nazwisko <- ifelse(is.na(out$tw_nazwisko),'',as.character(out$tw_nazwisko))
out$tw_imie <- ifelse(is.na(out$tw_imie),'',as.character(out$tw_imie))
out$pracownik <- ifelse(is.na(out$pracownik),'',as.character(out$pracownik))
out$za_adnotacje <- ifelse(is.na(out$za_adnotacje),'',as.character(out$za_adnotacje))
out$BN_URL <- ifelse(is.na(out$BN_URL),'',as.character(out$BN_URL))
out %$%
{ rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,) & BN_URL==lag(BN_URL,)} %>%
as.numeric() %>%
{.} -> out$same
out$same[1] <- 0
out$dzielone <- paste(out$am_autor_id,out$am_nazwisko,out$am_imie,out$os_osoba_id,out$os_nazwisko,out$os_imie,out$fo_symbol,out$wy_wydawnictwo_id,out$wy_miejsce,out$wy_nazwa,sep = "")
out <- out %>%
filter(!(same==1&dzielone=="")) %>%
select(1:33)
out %$%
{ rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,) & BN_URL==lag(BN_URL,)} %>%
as.numeric() %>%
{.} -> out$same
#ucięcie zbyt długich ciągów znaków, by weszły do oracle'a
dlugosci <- data.frame(pole = c("am_nazwisko", "am_imie", "za_tytul", "za_tytul_oryginalu", "za_jezyk_oryginalu", "os_nazwisko", "os_imie", "za_opis_wspoltworcow", "za_instytucja", "wy_miejsce", "wy_nazwa", "za_opis_fizyczny_ksiazki", "za_seria_wydawnicza", "tw_nazwisko", "tw_imie", "za_adnotacje"), liczba_znakow = c(50,40,500,500,100,50,40,500,255,40,255,1000,255,200,40,2000))
x <- match(dlugosci$pole,names(out))
for (i in x) {
progress(match(i,x), max.value = length(x))
dlugosc <- dlugosci$liczba_znakow[match(names(out[i]),dlugosci$pole)]
out$za_adnotacje <- ifelse(dlugosc<nchar(as.character(out[,i]))&out$za_adnotacje!="",paste(out$za_adnotacje,paste("UWAGA! Pole ",as.character(names(out[i]))," było zbyt długie i zostało przycięte. Zredaguj treść pola.",sep = ""),sep = "# "),
ifelse(dlugosc<nchar(as.character(out[,i]))&out$za_adnotacje=="",paste("UWAGA! Pole ",as.character(names(out[i]))," było zbyt długie i zostało przycięte. Zredaguj treść pola.",sep = ""),as.character(out$za_adnotacje)))
out[,i] <- ifelse(dlugosc<nchar(as.character(out[,i])),as.character(substr(out[,i],1,dlugosc)),as.character(out[,i]))
}Progress: 1 on 16 Progress: 2 on 16 Progress: 3 on 16 Progress: 4 on 16 Progress: 5 on 16 Progress: 6 on 16 Progress: 7 on 16 Progress: 8 on 16 Progress: 9 on 16 Progress: 10 on 16 Progress: 11 on 16 Progress: 12 on 16 Progress: 13 on 16 Progress: 14 on 16 Progress: 15 on 16 Progress: 16 on 16 out$rekord_BN[out$same == 1] <- ""
out$rz_nazwa[out$same == 1] <- ""
out$za_ro_rok[out$same == 1] <- ""
out$za_type[out$same == 1] <- ""
out$rz_rodzaj_id[out$same == 1] <- ""
out$DZ_NAZWA[out$same == 1] <- ""
out$DZ_DZIAL_ID[out$same == 1] <- ""
out$tw_tworca_id[out$same == 1] <- ""
out$za_tytul[out$same == 1] <- ""
out$za_tytul_oryginalu[out$same == 1] <- ""
out$za_jezyk_oryginalu[out$same == 1] <- ""
out$za_opis_wspoltworcow[out$same == 1] <- ""
out$za_wydanie[out$same == 1] <- ""
out$za_tomy[out$same == 1] <- ""
out$za_instytucja[out$same == 1] <- ""
out$za_rok_wydania[out$same == 1] <- ""
out$za_opis_fizyczny_ksiazki[out$same == 1] <- ""
out$za_seria_wydawnicza[out$same == 1] <- ""
out$tw_nazwisko[out$same == 1] <- ""
out$tw_imie[out$same == 1] <- ""
out$pracownik[out$same == 1] <- ""
out$za_adnotacje[out$same == 1] <- ""
out$BN_URL[out$same == 1] <- ""
out <- out %>%
select(1:33)
#pętla zapisująca po ok. 2000 wierszy z uwzględnieniem kompletności rekordów bibliograficznych rozpisanych na kilka wierszy
out <- out %>%
mutate(podzial = ifelse(rekord_BN!="",as.character(rekord_BN),NA)) %>%
fill(podzial)
ile <- unique(out$podzial)
ile <- split(unique(ile), ceiling(seq_along(unique(ile))/1500))
x <- 1:length(ile)
for (i in x) {
progress(match(i,x), max.value = length(x))
final <- out %>%
filter(podzial %in% ile[[i]]) %>%
select(-podzial)
write.xlsx(final, paste("C:/Users/",employee_name,"/Desktop/",import_year,"_przedmiotowa_do_importu",i,".xlsx",sep = ""),sheetName = "gotowe")
}Progress: 1 on 2 Progress: 2 on 2 bn_ok <- chunk11
data <- bn_ok %>%
filter(rodzaj_ksiazki=="antologia") %>%
mutate(redaktor_dzialu = paste(redaktor_dzialu,"_ant",sep = ""))
#uwolnienie kolumn z danymi z bn i przetworzenie do PBL
#1: za_uwagi, rz_nazwa, za_ro_rok, za_type, rz_rodzaj_id, tw_tworca_id, tw_nazwisko, tw_imie, dz_dzial_id, dz_nazwa, redaktor_dzialu
pola_pbl <- data %>%
select(ZA_UWAGI, RZ_NAZWA, ZA_RO_ROK = rok, RZ_RODZAJ_ID, TW_TWORCA_ID, TW_NAZWISKO, TW_IMIE, DZ_DZIAL_ID, DZ_NAZWA, redaktor_dzialu) %>%
mutate(ZA_TYPE = "KS")
#2: autor
BN_autor <- data %>%
select(ZA_UWAGI) %>%
mutate(AM_AUTOR_ID = NA,
AM_NAZWISKO = NA,
AM_IMIE = NA)
#adnotacje z autorów
#w antologii adnotacja musi być wcześniej, żeby na górze było info o tekstach autorów
ZA_ADNOTACJE <- data %>%
select(X100,X245,ZA_UWAGI)
#pole 100
marc_field_100 <- ZA_ADNOTACJE %>%
select(ZA_UWAGI,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(ZA_ADNOTACJE$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 #tutaj może być błąd ze względu na brak kolumny $b, wtedy należy zmienić linię z selectem i zakomentować linię: mutate(`$a` = ifelse(!is.na(`$b`),paste(`$a`,`$b`,sep = " "),as.character(`$a`))) %>%
ZA_ADNOTACJE <- marc_field_100 %>%
#select(ZA_UWAGI,`$a`,`$b`) %>%
select(ZA_UWAGI,`$a`) %>%
unique() %>%
#mutate(`$a` = ifelse(!is.na(`$b`),paste(`$a`,`$b`,sep = " "),as.character(`$a`))) %>%
mutate(`$a` = str_remove(`$a`,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)")) %>%
unique() %>%
mutate(AM_NAZWISKO = ifelse(grepl("\\|",`$a`), str_replace_all(str_remove_all(`$a`,","),"\\|",", "),
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\1"),as.character(`$a`))),
AM_IMIE = ifelse(grepl("\\|",`$a`),"*",
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\3"),"*"))) %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE) %>%
unite("ZA_ADNOTACJE", AM_IMIE:AM_NAZWISKO, sep = " ") %>%
group_by(ZA_UWAGI) %>%
mutate(ZA_ADNOTACJE = paste("[Teksty aut.:]",paste(ZA_ADNOTACJE,collapse = ", "),sep = " ")) %>%
ungroup() %>%
unique() %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#3: tytuł
#pole 245
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 marc_field_245 <- marc_field_245 %>%
select(ZA_UWAGI,`$a`,`$b`,`$n`,`$p`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = " "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = " "),
`$n` = paste(ifelse(is.na(`$n`),"",as.character(`$n`)),collapse = " "),
`$p` = paste(ifelse(is.na(`$p`),"",as.character(`$p`)),collapse = " ")) %>%
ungroup() %>%
unique() %>%
unite("ZA_TYTUL",`$a`:`$p`,sep = " ",na.rm = TRUE) %>%
mutate(ZA_TYTUL = str_replace_all(ZA_TYTUL," +"," "),
ZA_TYTUL = str_remove(ZA_TYTUL, "\\s+\\/\\s{0,}$"),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = str_replace_all(ZA_TYTUL,"\\.{3} \\.{3}","... "),
ZA_TYTUL = str_replace_all(ZA_TYTUL," ; ",". "),
ZA_TYTUL = gsub("( : )(.)",". \\U\\2",perl=TRUE,ZA_TYTUL)) %>%
select(ZA_UWAGI,ZA_TYTUL)
#dopisanie gatunku do przedmiotowej na podstawie 655 i 650
gatunki_pbl <- data.frame(gatunek = c("aforyzm", "album", "antologia", "autobiografia", "dziennik", "esej", "felieton", "inne", "kazanie", "list", "miniatura prozą", "opowiadanie", "poemat", "powieść", "proza", "proza poetycka", "reportaż", "rozmyślanie religijne", "rysunek, obraz", "scenariusz", "szkic", "tekst biblijny", "tekst dramatyczny", "dramat", "wiersz", "wspomnienia", "wypowiedź", "pamiętniki", "poezja", "literatura podróżnicza", "satyra", "piosenka"))
#dramat, pamiętniki, poezja, literatura podróżnicza, satyra, piosenka
gatunki_bn <- data %>%
select(ZA_UWAGI,X655,X650)
gatunki_bn <- sqldf("select *
from gatunki_bn
left join gatunki_pbl on lower(gatunki_bn.X655) like '%'||gatunki_pbl.gatunek||'%'")
gatunki_bn <- sqldf("select *
from gatunki_bn
left join gatunki_pbl on lower(gatunki_bn.X650) like '%'||gatunki_pbl.gatunek||'%'")
colnames(gatunki_bn)[5] <- "gatunek2"
gatunki_bn <- gatunki_bn %>%
mutate(gatunek = ifelse(is.na(gatunek)&!is.na(gatunek2),as.character(gatunek2),as.character(gatunek))) %>%
filter(!is.na(gatunek)) %>%
select(ZA_UWAGI,gatunek) %>%
mutate(gatunek = ifelse(gatunek=="dramat","tekst dramatyczny",
ifelse(gatunek=="pamiętniki","wspomnienia",
ifelse(gatunek=="poezja","wiersz",
ifelse(gatunek=="literatura podróżnicza","reportaż",
ifelse(gatunek=="piosenka","wiersz",as.character(gatunek))))))) %>%
group_by(ZA_UWAGI) %>%
mutate(gatunek = paste(gatunek,collapse = ", ")) %>%
ungroup() %>%
unique() %>%
mutate(gatunek = gsub("(^.)","\\U\\1",perl = TRUE, gatunek))
#połączenie tytułu z gatunkiem
za_tytul <- marc_field_245 %>%
left_join(.,gatunki_bn,by="ZA_UWAGI") %>%
mutate(gatunek = paste("[",gatunek,"]",sep = ""),
gatunek = ifelse(gatunek=="[NA]",NA,as.character(gatunek))) %>%
unite("ZA_TYTUL", ZA_TYTUL:gatunek, sep = ". ",na.rm=TRUE) %>%
mutate(ZA_TYTUL = str_replace_all(ZA_TYTUL,"\\. \\.",". "),
ZA_TYTUL = str_replace(ZA_TYTUL,"(\\!)(\\.)|(\\?)(\\.)","\\1"))
#4: tytuł oryginału
#pole 246
marc_field_246 <- data %>%
select(ZA_UWAGI,X246)%>%
filter(X246!="") %>%
mutate(X246=str_remove_all(X246,"~"),
X246=str_replace_all(X246,"(^|\\|)","~\\1")) %>%
cSplit(.,"X246",sep = "~",direction = "long") %>%
filter(X246!="") %>%
mutate(X246=str_remove_all(X246,"^\\|")) %>%
mutate(indicator = str_replace_all(X246,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X246,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_246)[1]))
colnames(empty_table) <-subfield_list
marc_field_246<-cbind(marc_field_246,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_246$X246 <- str_replace(marc_field_246$X246,subfield_list_char[i],"|\\1")
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_246[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_246$X246),str_replace_all(gsub(string,"\\3",marc_field_246$X246),"\\${2}.", "~"),NA)
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 if("$n" %in% colnames(marc_field_245)) {
marc_field_246 <- marc_field_246 %>%
filter(grepl("oryg",X246)) %>%
select(ZA_UWAGI,`$a`,`$b`,`$n`,`$p`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = ", "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = ""),
`$n` = paste(ifelse(is.na(`$n`),"",as.character(`$n`)),collapse = ""),
`$p` = paste(ifelse(is.na(`$p`),"",as.character(`$p`)),collapse = "")) %>%
ungroup() %>%
unique() %>%
unite("X246",`$a`:`$p`,sep = " ",na.rm = TRUE) %>%
mutate(X246 = str_replace_all(X246," +"," "),
X246 = str_remove(X246, "\\s+\\/\\s{0,}$"),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X246),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( ){0,1}(.)",X246),gsub("(\\W)( )(:|;)( ){0,1}(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = str_replace_all(X246,"\\.{3} \\.{3}","... "),
X246 = gsub("( : )(.)",". \\U\\2",perl=TRUE,X246)) %>%
select(ZA_UWAGI, X246)
} else {
marc_field_246 <- marc_field_246 %>%
filter(grepl("oryg",X246)) %>%
select(ZA_UWAGI,`$a`,`$b`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = ", "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = "")) %>%
ungroup() %>%
unique() %>%
unite("X246",`$a`:`$b`,sep = " ",na.rm = TRUE) %>%
mutate(X246 = str_replace_all(X246," +"," "),
X246 = str_remove(X246, "\\s+\\/\\s{0,}$"),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X246),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( ){0,1}(.)",X246),gsub("(\\W)( )(:|;)( ){0,1}(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = str_replace_all(X246,"\\.{3} \\.{3}","... "),
X246 = gsub("( : )(.)",". \\U\\2",perl=TRUE,X246)) %>%
select(ZA_UWAGI, X246)
}
#pole 500
marc_field_500 <- data %>%
select(ZA_UWAGI,X500)%>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"~"),
X500=str_replace_all(X500,"(^|\\|)","~\\1")) %>%
cSplit(.,"X500",sep = "~",direction = "long") %>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"^\\|")) %>%
mutate(indicator = str_replace_all(X500,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X500,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_500)[1]))
colnames(empty_table) <-subfield_list
marc_field_500<-cbind(marc_field_500,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_500$X500 <- str_replace(marc_field_500$X500,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_500[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_500$X500),str_replace_all(gsub(string,"\\3",marc_field_500$X500),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_500 <- marc_field_500 %>%
filter(grepl("oryg\\.\\:",X500)) %>%
mutate(X500 = str_remove(`$a`,"^Tyt\\. oryg\\.: |^Tyt\\, oryg\\.: |^.*?tyt\\. oryg\\.: "),
X500 = str_remove(X500, "\\s+\\/\\s{0,}$"),
X500 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X500),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X500),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X500),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X500),as.character(X500))))),
X500 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X500),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X500),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X500),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X500),as.character(X500))))),
X500 = str_replace_all(X500,"\\.{3} \\.{3}","... "),
X500 = str_remove(X500, "\\.$"),
X500 = str_remove(X500,"(,{0,1} {0,1})\\d{4}.*$|(, t|. T)yt. oryg. cyklu:")) %>%
select(ZA_UWAGI,X500)
#tytuł oryginału
za_tytul_oryginalu <- data %>%
select(ZA_UWAGI) %>%
left_join(.,marc_field_246,by="ZA_UWAGI") %>%
left_join(.,marc_field_500,by="ZA_UWAGI") %>%
mutate(X500 = ifelse(is.na(X500),NA,
ifelse(grepl("oryg",X500),NA,as.character(X500))),
X500 = ifelse(!is.na(X500)&grepl("\\. - ",X500),str_replace(X500,"(.*?)(\\. - .*$)","\\1"),as.character(X500)),
X500 = ifelse(!is.na(X500)&grepl("Na książce pseud",X500),str_replace(X500,"(.*?)(\\. Na książce pseud.*$)","\\1"),as.character(X500)),
X500 = ifelse(!is.na(X500)&grepl("Przekł\\. wg",X500),str_replace(X500,"(.*?)(\\. Przekł\\. wg.*$)","\\1"),as.character(X500)),
ZA_TYTUL_ORYGINALU = ifelse(is.na(X246)&is.na(X500),NA,
ifelse(!is.na(X500),as.character(X500),as.character(X246))),
ZA_TYTUL_ORYGINALU = str_remove_all(ZA_TYTUL_ORYGINALU,'\\"')) %>%
select(ZA_UWAGI,ZA_TYTUL_ORYGINALU)
#5: język oryginału
marc_field_041 <- data %>%
select(ZA_UWAGI,X041)%>%
filter(X041!="") %>%
mutate(X041=str_replace_all(X041,"(^|\\|)","~\\1")) %>%
cSplit(.,"X041",sep = "~",direction = "long") %>%
filter(X041!="") %>%
mutate(X041=str_remove_all(X041,"^\\|")) %>%
mutate(indicator = str_replace_all(X041,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X041,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_041)[1]))
colnames(empty_table) <-subfield_list
marc_field_041<-cbind(marc_field_041,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_041$X041 <- str_replace(marc_field_041$X041,subfield_list_char[i],"|\\1")
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_041[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_041$X041),str_replace_all(gsub(string,"\\3",marc_field_041$X041),"\\${2}.", "~"),NA)
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 za_jezyk_oryginalu <- data %>%
select(ZA_UWAGI) %>%
left_join(.,marc_field_041 %>% select(ZA_UWAGI,ZA_JEZYK_ORYGINALU = `$a`),by="ZA_UWAGI") %>%
mutate(ZA_JEZYK_ORYGINALU = str_replace_all(ZA_JEZYK_ORYGINALU,"\\$a",",")) %>%
unique()
#6: współtwórcy
marc_field_700 <- data %>%
select(ZA_UWAGI,X700)%>%
filter(X700!="") %>%
mutate(X700=str_replace_all(X700,"(..\\$a)","|\\1"),
X700=str_replace_all(X700,"(^|\\|)","~\\1")) %>%
cSplit(.,"X700",sep = "~",direction = "long") %>%
filter(X700!="") %>%
mutate(X700=str_remove_all(X700,"^\\|")) %>%
mutate(indicator = str_replace_all(X700,"(^.*?)(\\$.*)","\\1")) %>%
filter(X700!="")
subfield_list<- str_extract_all(data$X700,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_700)[1]))
colnames(empty_table) <-subfield_list
marc_field_700<-cbind(marc_field_700,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_700$X700 <- str_replace(marc_field_700$X700,subfield_list_char[i],"|\\1")
}Progress: 1 on 8 Progress: 2 on 8 Progress: 3 on 8 Progress: 4 on 8 Progress: 5 on 8 Progress: 6 on 8 Progress: 7 on 8 Progress: 8 on 8 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_700[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_700$X700),str_replace_all(gsub(string,"\\3",marc_field_700$X700),"\\${2}.", "~"),NA)
}Progress: 1 on 8 Progress: 2 on 8 Progress: 3 on 8 Progress: 4 on 8 Progress: 5 on 8 Progress: 6 on 8 Progress: 7 on 8 Progress: 8 on 8 BN_wspoltworca <- marc_field_700 %>%
select(ZA_UWAGI,osoba = `$a`,funkcja = `$e`) %>%
filter(!is.na(funkcja)) %>%
mutate(osoba = str_remove(osoba,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)"),
OS_NAZWISKO = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\1"),as.character(osoba)),
OS_IMIE = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\3"),"*"),
ws_prosty = str_replace_all(str_to_lower(osoba), "\\W", ""),
fu_prosta = str_replace_all(str_to_lower(funkcja), "\\W", "")) %>%
left_join(.,PBL_wspoltworcy %>% select(OS_OSOBA_ID,OS_LICZBA_ZAPISOW,nazwa_prosta),by=c("ws_prosty"="nazwa_prosta")) %>%
arrange(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,-OS_LICZBA_ZAPISOW)
BN_wspoltworca$id_grupy <- cumsum(!duplicated(BN_wspoltworca[1:2]))
BN_wspoltworca <- BN_wspoltworca[!duplicated(BN_wspoltworca$id_grupy),] %>%
left_join(.,PBL_funkcje,by=c("fu_prosta"="nazwa")) %>%
mutate(fo_symbol = ifelse(fo_symbol=="NULL",NA,as.character(fo_symbol))) %>%
select(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,OS_OSOBA_ID,fo_symbol,fo_nazwa,funkcja)
#tutaj przeszukać X245 i znaleźć błędy współtwórców
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 marc_field_245 <- marc_field_245 %>%
select(ZA_UWAGI,X245c=`$c`)
BN_wspoltworca <- BN_wspoltworca %>%
left_join(.,marc_field_245,by="ZA_UWAGI")
x <- 1:lengths(BN_wspoltworca[1])
for (i in x) {
progress(match(i,x), max.value = length(x))
BN_wspoltworca$czy_nazwisko[i] <- str_detect(BN_wspoltworca$X245c[i],BN_wspoltworca$OS_NAZWISKO[i])
BN_wspoltworca$czy_imie[i] <- grepl(BN_wspoltworca$OS_IMIE[i],BN_wspoltworca$X245c[i])
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mutate(ZA_ADNOTACJE = ifelse(czy_nazwisko==FALSE|czy_imie==FALSE,paste("UWAGA! Konflikt w danych osobowych w polach 700 i 245. Porównaj pola współtórców w formularzu z polem BN: ",X245c,sep = ""),NA)) %>%
select(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,OS_OSOBA_ID,fo_symbol,fo_nazwa,funkcja,ZA_ADNOTACJE)
#7: opis współtwórców
opis_wspoltworcow <- BN_wspoltworca %>%
select(ZA_UWAGI,funkcja,OS_IMIE,OS_NAZWISKO) %>%
full_join(.,marc_field_245,by="ZA_UWAGI") %>%
filter(!is.na(OS_NAZWISKO)|(is.na(OS_NAZWISKO)&grepl("et al\\.",X245c))) %>%
mutate(jest_et_al = grepl("et al\\.",X245c),
OS_IMIE = ifelse(OS_IMIE=="*","",as.character(OS_IMIE)),
opis = ifelse(!is.na(OS_NAZWISKO),paste(funkcja,OS_IMIE, OS_NAZWISKO, sep = " "),""),
opis = str_replace_all(opis," +"," "),
opis = ifelse(opis==" ","",as.character(opis))) %>%
select(ZA_UWAGI,opis,jest_et_al) %>%
group_by(ZA_UWAGI) %>%
mutate(opis = paste(opis,collapse = ", "),
jest_et_al = paste(unique(jest_et_al),sep = "")) %>%
ungroup() %>%
unique() %>%
mutate(opis = ifelse(jest_et_al==TRUE&opis=="","et al.",
ifelse(jest_et_al,paste(opis,"et al.",sep = " "),opis))) %>%
select(ZA_UWAGI,opis)
#700
marc_field_700 <- data %>%
select(ZA_UWAGI,X700)%>%
filter(X700!="") %>%
mutate(X700=str_replace_all(X700,"(..\\$a)","|\\1"),
X700=str_replace_all(X700,"(^|\\|)","~\\1")) %>%
cSplit(.,"X700",sep = "~",direction = "long") %>%
filter(X700!="") %>%
mutate(X700=str_remove_all(X700,"^\\|")) %>%
mutate(indicator = str_replace_all(X700,"(^.*?)(\\$.*)","\\1")) %>%
filter(X700!="")
subfield_list<- str_extract_all(data$X700,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_700)[1]))
colnames(empty_table) <-subfield_list
marc_field_700<-cbind(marc_field_700,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_700$X700 <- str_replace(marc_field_700$X700,subfield_list_char[i],"|\\1")
}Progress: 1 on 8 Progress: 2 on 8 Progress: 3 on 8 Progress: 4 on 8 Progress: 5 on 8 Progress: 6 on 8 Progress: 7 on 8 Progress: 8 on 8 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_700[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_700$X700),str_replace_all(gsub(string,"\\3",marc_field_700$X700),"\\${2}.", "~"),NA)
}Progress: 1 on 8 Progress: 2 on 8 Progress: 3 on 8 Progress: 4 on 8 Progress: 5 on 8 Progress: 6 on 8 Progress: 7 on 8 Progress: 8 on 8 marc_field_700 <- marc_field_700 %>%
select(ZA_UWAGI,osoba = `$a`,funkcja = `$e`) %>%
filter(!is.na(funkcja)) %>%
mutate(osoba = str_remove(osoba,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)"),
OS_NAZWISKO = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\1"),as.character(osoba)),
OS_IMIE = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\3"),"*"),
funkcja_duza = str_to_lower(funkcja),
opis = paste(funkcja_duza,OS_IMIE,OS_NAZWISKO, sep = " "),
opis_duzy = paste(funkcja,OS_IMIE,OS_NAZWISKO, sep = " ")) %>%
select(ZA_UWAGI,opis,opis_duzy) %>%
group_by(ZA_UWAGI) %>%
mutate(opis = paste(opis,collapse = ". "),
opis_duzy = paste(opis_duzy,collapse = ". ")) %>%
ungroup() %>%
unique()
#opis współtwórców ze strefy odpowiedzialności 245
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 marc_field_245 <- marc_field_245 %>%
select(ZA_UWAGI,`$c`)
#porównanie opisu współtwórców z 245 i 700
wspoltworcy <- marc_field_700 %>%
full_join(.,marc_field_245,by="ZA_UWAGI") %>%
cSplit(.,"$c",sep = " ; ",direction = "long") %>%
#ograniczanie osób ze strefy odpowiedzialności
mutate(czy_mala = grepl(" [a-zęóąśłżźćń]|^[a-zęóąśłżźćń]|\\[[a-zęóąśłżźćń]",`$c`,ignore.case = FALSE)) %>%
filter(czy_mala==TRUE) %>%
select(-czy_mala) %>%
#mutate(`$c` = gsub("^(\\[){0,1}([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])","\\1\\U\\2",perl = TRUE,`$c`)) %>%
group_by(ZA_UWAGI) %>%
mutate(X245 = paste(`$c`, collapse = ", ")) %>%
select(-`$c`) %>%
unique() %>%
mutate(order_pbl = as.character(str_extract_all(opis,"(?<=^| |\\[|-)([A-ZAÁÀÂÃÄĂĀÅĄÆEÉÈÊËĚĒĖĘIÍÌÎÏĪĮIOÓÒÔÕÖŐØŒUÚÙÛÜŰŪůYÝCĆČçDĎĐĐGĢĞKĶLŁĻNŃÑŇŅŊRŘSŚŠŞSßTŤŦÞŢ8ZŻŹŽa-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])")),
order_pbl = str_replace_all(order_pbl,"(.*?\")(.)(\".*?.)", "\\2"),
order_bn = as.character(str_extract_all(X245,"(?<=^| |\\[|-)([A-ZAÁÀÂÃÄĂĀÅĄÆEÉÈÊËĚĒĖĘIÍÌÎÏĪĮIOÓÒÔÕÖŐØŒUÚÙÛÜŰŪůYÝCĆČçDĎĐĐGĢĞKĶLŁĻNŃÑŇŅŊRŘSŚŠŞSßTŤŦÞŢ8ZŻŹŽa-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])")),
order_bn = str_replace_all(order_bn,"(.*?\")(.)(\".*?.)", "\\2"),
X245 = str_remove(X245, "\\.$"),
X245 = str_remove(X245, "\\["),
X245 = str_remove(X245, "\\]"),
order_pbl = str_remove_all(order_pbl, "[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]"),
order_bn = str_remove_all(order_bn, "[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]"),
to_samo = order_pbl==order_bn,
X245 = gsub("(^[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(.*)","\\U\\1\\E\\2",perl = TRUE, X245)) %>%
left_join(.,za_jezyk_oryginalu,by="ZA_UWAGI") %>%
mutate(czy_pl = grepl("pol",ZA_JEZYK_ORYGINALU)|is.na(ZA_JEZYK_ORYGINALU),
decyzja = ifelse(to_samo==FALSE|czy_pl==FALSE,FALSE,TRUE))
za_opis_wspoltworcow <- wspoltworcy %>%
mutate(za_opis_wspoltworcow = ifelse(decyzja==TRUE,as.character(X245),paste(X245,opis_duzy,sep = "#"))) %>%
select(ZA_UWAGI,opis_duzy,za_opis_wspoltworcow) %>%
cSplit(.,"za_opis_wspoltworcow",sep = "#",direction = "wide") %>%
mutate(za_opis_wspoltworcow_2 = ifelse(is.na(za_opis_wspoltworcow_2),'',as.character(za_opis_wspoltworcow_2)),
to_samo = za_opis_wspoltworcow_1==za_opis_wspoltworcow_2) %>%
filter(to_samo==FALSE) %>%
group_by(ZA_UWAGI) %>%
mutate(za_opis_wspoltworcow = paste(za_opis_wspoltworcow_1,za_opis_wspoltworcow_2,sep = "#"),
za_opis_wspoltworcow = str_remove_all(za_opis_wspoltworcow,"\\#$")) %>%
select(ZA_UWAGI,za_opis_wspoltworcow)
opis_wspoltworcow <- opis_wspoltworcow %>%
filter(ZA_UWAGI %notin% za_opis_wspoltworcow$ZA_UWAGI) %>%
filter(!is.na(opis)) %>%
rename(za_opis_wspoltworcow = opis)
za_opis_wspoltworcow <- za_opis_wspoltworcow %>%
bind_rows(.,opis_wspoltworcow) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#8 wydanie
marc_field_250 <- data %>%
select(ZA_UWAGI,X250)%>%
filter(X250!="") %>%
mutate(X250=str_replace_all(X250,"(^|\\|)","~\\1")) %>%
cSplit(.,"X250",sep = "~",direction = "long") %>%
filter(X250!="") %>%
mutate(X250=str_remove_all(X250,"^\\|")) %>%
mutate(indicator = str_replace_all(X250,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X250,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_250)[1]))
colnames(empty_table) <-subfield_list
marc_field_250<-cbind(marc_field_250,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_250$X250 <- str_replace(marc_field_250$X250,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_250[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_250$X250),str_replace_all(gsub(string,"\\3",marc_field_250$X250),"\\${2}.", "~"),NA)
}Progress: 1 on 1 za_wydanie <- marc_field_250 %>%
select(ZA_UWAGI, wydanie = `$a`) %>%
mutate(wydanie = str_remove(wydanie," \\/$")) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#9: instytucja sprawcza
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 za_instytucja <- marc_field_245 %>%
select(ZA_UWAGI,X245c=`$c`) %>%
filter(!is.na(X245c)) %>%
mutate(instytucja = ifelse(grepl("\\;",X245c),str_replace_all(X245c, "(.*?)(\\;(?!.*\\;))( )+(.*?$)","\\4"),"")) %>%
left_join(.,BN_wspoltworca,by="ZA_UWAGI")
x <- 1:lengths(za_instytucja[1])
for (i in x) {
progress(match(i,x), max.value = length(x))
za_instytucja$czy_nazwisko[i] <- grepl(za_instytucja$OS_NAZWISKO[i],za_instytucja$X245c[i])
za_instytucja$czy_imie[i] <- grepl(za_instytucja$OS_IMIE[i],za_instytucja$X245c[i])
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filter(is.na(czy_nazwisko)&is.na(czy_imie)) %>%
filter(instytucja!="") %>%
filter(!grepl("^\\[[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]|^[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]",instytucja)) %>%
mutate(instytucja = str_remove(instytucja,"\\.$")) %>%
select(ZA_UWAGI,instytucja) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#10: wydawnictwo
BN_wydawnictwo <- data %>%
select(ZA_UWAGI, X260) %>%
mutate(X260 = str_replace_all(X260,"s\\.n\\.", "b.w."),
X260 = str_replace_all(X260,"s\\.l\\.", "b.m."),
X260 = str_replace_all(X260,"S\\.l\\.", "b.m."),
X260 = str_remove(X260,"^\\\\+"),
rok_wydania = str_extract_all(X260, "(?<=\\$c).*(?=\\$e)|(?<=\\$c).*"),
bez_roku = str_replace_all(X260, ".\\$c.*", ""),
ile_wydawnictw = str_count(bez_roku, "\\$b"),
ile_miejsc = str_count(bez_roku, "\\$a"),
kolejnosc = str_replace_all(as.character(str_extract_all(bez_roku, "\\$.")), "[^a-z]", ""),
bez_roku = str_replace_all(bez_roku, ";\\$b", ":$b"),
wydaw_podziel = ifelse(ile_wydawnictw>ile_miejsc|kolejnosc=="caabb", str_replace_all(bez_roku, "(\\$a)(.*?)( :\\$b.*?)( :\\$b)", "\\1\\2\\3 ;$a\\2\\4"),bez_roku),
wydawnictwo_test = str_replace_all(wydaw_podziel, "(\\$b)(.*?)( ;\\$a)", "\\1\\2|\\3")) %>%
select(ZA_UWAGI,rok_wydania,wydawnictwo_test) %>%
cSplit(., "wydawnictwo_test", sep = "|", direction = "long") %>%
mutate(wydawnictwo = str_extract_all(wydawnictwo_test, "(?<=\\$b)(.*)"),
miejsce_wydania = str_replace_all(str_extract_all(wydawnictwo_test, "(?<=\\$a)(.*)(?= {0,1}: {0,1}\\$b)|(?<=\\$a)(.*)($)")," ;\\$a", ", "),
nazwa_prosta = str_to_lower(str_replace_all(str_replace_all(unlist(wydawnictwo_test), "\\$\\w", ""), "\\W", ""))) %>%
left_join(.,PBL_wydawnictwa,by="nazwa_prosta") %>%
mutate(to_samo = wydawnictwo==WY_NAZWA) %>%
arrange(ZA_UWAGI,-to_samo,-WY_LICZBA_ZAPISOW)
BN_wydawnictwo$id_grupy <- cumsum(!duplicated(BN_wydawnictwo[1:3]))
BN_wydawnictwo <- BN_wydawnictwo[!duplicated(BN_wydawnictwo$id_grupy),] %>%
mutate(WY_NAZWA = ifelse(!is.na(WY_NAZWA),as.character(WY_NAZWA),as.character(wydawnictwo)),
WY_MIASTO = ifelse(!is.na(WY_MIASTO),as.character(WY_MIASTO),trim(as.character(miejsce_wydania))),
rok_wydania = str_replace_all(rok_wydania, "(.*)(\\.)", "\\1"),
za_rok_wydania = ifelse(nchar(rok_wydania)==4,as.character(rok_wydania),NA),
do_opisu = ifelse(is.na(za_rok_wydania),paste("[",str_extract(rok_wydania,"\\d{4}"),"]",sep = ""),""),
WY_MIASTO = ifelse(substr(WY_MIASTO,1,1)=="["&substr(WY_MIASTO,nchar(WY_MIASTO),nchar(WY_MIASTO))!="]"&is.na(WY_WYDAWNICTWO_ID),paste(trim(WY_MIASTO),"]",sep = ""),as.character(WY_MIASTO))) %>%
select(ZA_UWAGI,WY_WYDAWNICTWO_ID,WY_NAZWA,WY_MIASTO,za_rok_wydania,do_opisu) %>%
mutate(WY_NAZWA = ifelse(str_count(WY_NAZWA, "\\[")>str_count(WY_NAZWA, "\\]"), paste(WY_NAZWA, "]", sep = ""),
ifelse(str_count(WY_NAZWA, "\\[")<str_count(WY_NAZWA, "\\]"), paste("[", WY_NAZWA, sep = ""), as.character(WY_NAZWA))),
WY_MIASTO = ifelse(str_count(WY_MIASTO, "\\[")>str_count(WY_MIASTO, "\\]"), paste(WY_MIASTO, "]", sep = ""),
ifelse(str_count(WY_MIASTO, "\\[")<str_count(WY_MIASTO, "\\]"), paste("[", WY_MIASTO, sep = ""), as.character(WY_MIASTO))))
#11: opis fizyczny książki
#pole 300 do opisu fizycznego
marc_field_300 <- data %>%
select(ZA_UWAGI,X300)%>%
filter(X300!="") %>%
mutate(X300=str_replace_all(X300,"(^|\\|)","~\\1")) %>%
cSplit(.,"X300",sep = "~",direction = "long") %>%
filter(X300!="") %>%
mutate(X300=str_remove_all(X300,"^\\|")) %>%
mutate(indicator = str_replace_all(X300,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X300,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_300)[1]))
colnames(empty_table) <-subfield_list
marc_field_300<-cbind(marc_field_300,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_300$X300 <- str_replace(marc_field_300$X300,subfield_list_char[i],"|\\1")
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_300[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_300$X300),str_replace_all(gsub(string,"\\3",marc_field_300$X300),"\\${2}.", "~"),NA)
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 marc_field_300 <- marc_field_300 %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"),
`$b` = str_remove(`$b`," \\;+$| \\:+$"),
`$e` = ifelse(grepl("CD-ROM|DVD|VCD|CD",`$e`)&grepl("\\+ dysk|płyt",`$e`),str_extract(`$e`,"(?<=\\+)(dysk|płyt.*?)(CD-ROM|DVD|VCD|CD)(\\)){0,1}"),
ifelse(grepl("CD-ROM|DVD|VCD|CD",`$e`),str_extract(`$e`,"(^.*?)(CD-ROM|DVD|VCD|CD)(\\)){0,1}"),NA)),
`$a` = ifelse(is.na(`$a`),"",as.character(`$a`)),
`$b` = ifelse(is.na(`$b`),"",as.character(`$b`)),
`$e` = ifelse(is.na(`$e`),"",as.character(`$e`)))
#pole 500 do opisu fizycznego
marc_field_500 <- data %>%
select(ZA_UWAGI,X500)%>%
filter(X500!="") %>%
mutate(X500=str_replace_all(X500,"(^|\\|)","~\\1")) %>%
cSplit(.,"X500",sep = "~",direction = "long") %>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"^\\|")) %>%
mutate(indicator = str_replace_all(X500,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X500,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_500)[1]))
colnames(empty_table) <-subfield_list
marc_field_500<-cbind(marc_field_500,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_500$X500 <- str_replace(marc_field_500$X500,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_500[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_500$X500),str_replace_all(gsub(string,"\\3",marc_field_500$X500),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_500 <- marc_field_500 %>%
mutate(`$a` = ifelse(grepl("oryg(\\.|\\,)",X500)&grepl("pseud|nazwa",X500,ignore.case = TRUE),str_replace(`$a`,"(^.*?)(\\. )(\\p{Lu}.*$)","\\3"),as.character(`$a`))) %>%
filter(!grepl("oryg(\\.|\\,)",`$a`)&grepl("pseud|nazwa|dotycz|pol",`$a`,ignore.case = TRUE)) %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"))
#pole 546 do opisu fizycznego
marc_field_546 <- data %>%
select(ZA_UWAGI,X546)%>%
filter(X546!="") %>%
mutate(X546=str_replace_all(X546,"(^|\\|)","~\\1")) %>%
cSplit(.,"X546",sep = "~",direction = "long") %>%
filter(X546!="") %>%
mutate(X546=str_remove_all(X546,"^\\|")) %>%
mutate(indicator = str_replace_all(X546,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X546,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_546)[1]))
colnames(empty_table) <-subfield_list
marc_field_546<-cbind(marc_field_546,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_546$X546 <- str_replace(marc_field_546$X546,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_546[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_546$X546),str_replace_all(gsub(string,"\\3",marc_field_546$X546),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_546 <- marc_field_546 %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"))
#pole 501 do opisu fizycznego
marc_field_501 <- data %>%
select(ZA_UWAGI,X501)%>%
filter(X501!="") %>%
mutate(X501=str_replace_all(X501,"(^|\\|)","~\\1")) %>%
cSplit(.,"X501",sep = "~",direction = "long") %>%
filter(X501!="") %>%
mutate(X501=str_remove_all(X501,"^\\|")) %>%
mutate(indicator = str_replace_all(X501,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X501,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_501)[1]))
colnames(empty_table) <-subfield_list
marc_field_501<-cbind(marc_field_501,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_501$X501 <- str_replace(marc_field_501$X501,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_501[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_501$X501),str_replace_all(gsub(string,"\\3",marc_field_501$X501),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_501 <- marc_field_501 %>%
select(ZA_UWAGI, `$a`)
za_opis_ks <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wydawnictwo %>% select(ZA_UWAGI,do_opisu),by="ZA_UWAGI") %>%
left_join(.,marc_field_300 %>% select(ZA_UWAGI,X300a=`$a`,X300b=`$b`,X300e=`$e`),by="ZA_UWAGI") %>%
left_join(.,marc_field_500 %>% select(ZA_UWAGI,X500a=`$a`),by="ZA_UWAGI") %>%
left_join(.,marc_field_546 %>% select(ZA_UWAGI,X546a=`$a`),by="ZA_UWAGI") %>%
left_join(.,marc_field_501 %>% select(ZA_UWAGI,X501a=`$a`),by="ZA_UWAGI")
za_opis_ks[is.na(za_opis_ks)] <- ""
za_opis_ks <- za_opis_ks %>%
mutate(za_opis_ks = paste(ifelse(do_opisu!="",paste(as.character(do_opisu),", ",sep = ""),""),ifelse(X300a!="",paste(as.character(X300a),", ",sep = ""),""),ifelse(X300b!="",paste(as.character(X300b),", ",sep = ""),""),ifelse(X300e!="",paste(as.character(X300e),", ",sep = ""),""),ifelse(X500a!="",paste(as.character(X500a),", ",sep = ""),""),ifelse(X546a!="",as.character(X546a),""),ifelse(X501a!="",as.character(X501a),""),sep = ""),
za_opis_ks = str_remove(za_opis_ks,"(, )+$")) %>%
select(ZA_UWAGI,za_opis_ks) %>%
unique() %>%
arrange(ZA_UWAGI,-nchar(za_opis_ks))
za_opis_ks$id_grupy <- cumsum(!duplicated(za_opis_ks[1]))
za_opis_ks <- za_opis_ks[!duplicated(za_opis_ks$id_grupy),] %>%
select(-id_grupy)
#12: seria wydawnicza
marc_field_490 <- data %>%
select(ZA_UWAGI,X490,X800,X830) %>%
mutate(X490 = ifelse(grepl("U\\+",X490),as.character(X830),as.character(X490))) %>%
mutate(X800 = ifelse(X490!="","",as.character(X800)),
X830 = ifelse(X490!="","",as.character(X830)),
X800 = str_replace(X800,"(\\$a)(.*)(\\$t)","\\1"),
X490 = ifelse(X490==""&X830!="",as.character(X830),
ifelse(X490==""&X800!="",as.character(X800),as.character(X490)))) %>%
select(ZA_UWAGI,X490) %>%
filter(X490!="") %>%
mutate(X490=str_replace_all(X490,"(^|\\|)","~\\1")) %>%
cSplit(.,"X490",sep = "~",direction = "long") %>%
filter(X490!="") %>%
mutate(X490=str_remove_all(X490,"^\\|")) %>%
mutate(indicator = str_replace_all(X490,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X490,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_490)[1]))
colnames(empty_table) <-subfield_list
marc_field_490<-cbind(marc_field_490,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_490$X490 <- str_replace(marc_field_490$X490,subfield_list_char[i],"|\\1")
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_490[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_490$X490),str_replace_all(gsub(string,"\\3",marc_field_490$X490),"\\${2}.", "~"),NA)
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 za_seria_wydawnicza <- marc_field_490 %>%
mutate(`$a` = str_replace_all(`$a`,"(=)(\\$a)","\\1 "),
`$a` = str_remove(`$a`," \\;+$| \\:+$"),
`$v` = ifelse(is.na(`$v`),"",as.character(`$v`))) %>%
filter(!is.na(`$a`)) %>%
mutate(seria = str_remove(paste("(",`$a`,"; ",`$v`,")",sep = ""),"; (?=\\)$)"),
seria = gsub("( : )(.)",". \\U\\2",perl=TRUE,seria)) %>%
select(ZA_UWAGI,seria) %>%
group_by(ZA_UWAGI) %>%
mutate(seria = paste(seria,collapse = " ")) %>%
ungroup() %>%
unique() %>%
mutate(seria = str_replace_all(seria,"\\$.","; ")) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#13: tomy
za_tomy <- data %>%
select(ZA_UWAGI) %>%
mutate(za_tomy = NA)
#14: adnotacje
za_adnotacje <- data %>%
select(ZA_UWAGI) %>%
left_join(.,ZA_ADNOTACJE %>% select(ZA_UWAGI,ZA_ADNOTACJE),by="ZA_UWAGI") %>%
left_join(.,BN_wspoltworca %>% select(ZA_UWAGI,ZA_ADNOTACJE),by="ZA_UWAGI") %>%
mutate(ZA_ADNOTACJE = paste(ifelse(is.na(ZA_ADNOTACJE.x),"",paste(as.character(ZA_ADNOTACJE.x),"# ",sep = "")),ifelse(is.na(ZA_ADNOTACJE.y),"",as.character(ZA_ADNOTACJE.y)),sep = ""),
ZA_ADNOTACJE = str_remove(ZA_ADNOTACJE,"(# )+$")) %>%
select(ZA_UWAGI,ZA_ADNOTACJE) %>%
unique() %>%
arrange(ZA_UWAGI,-nchar(ZA_ADNOTACJE))
za_adnotacje$id_grupy <- cumsum(!duplicated(za_adnotacje[1]))
za_adnotacje <- za_adnotacje[!duplicated(za_adnotacje$id_grupy),] %>%
select(-id_grupy)
#15: BN_URL
BN_URL <- data %>%
select(ZA_UWAGI,BN_URL)
#wyrównanie liczby wierszy do liczby wierszy obiektu data
BN_wspoltworca <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wspoltworca %>% select(ZA_UWAGI,OS_OSOBA_ID,OS_NAZWISKO,OS_IMIE,fo_symbol),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, OS_OSOBA_ID = paste(OS_OSOBA_ID, collapse="|"), OS_NAZWISKO = paste(OS_NAZWISKO, collapse="|"), OS_IMIE = paste(OS_IMIE, collapse="|"), fo_symbol = paste(fo_symbol, collapse="|")) %>%
mutate(fo_symbol = ifelse(fo_symbol=="NULL","NA",as.character(fo_symbol)))
BN_wydawnictwo <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wydawnictwo %>% select(ZA_UWAGI,WY_WYDAWNICTWO_ID,WY_NAZWA,WY_MIASTO,za_rok_wydania),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, WY_WYDAWNICTWO_ID = paste(WY_WYDAWNICTWO_ID, collapse="|"), WY_NAZWA = paste(WY_NAZWA, collapse="|"), WY_MIASTO = paste(WY_MIASTO, collapse="|"), za_rok_wydania = paste(unique(za_rok_wydania), collapse="|")) %>%
mutate(za_rok_wydania = ifelse(za_rok_wydania=="NA","",as.integer(za_rok_wydania)))pojawi戼㸳y si攼㹡 warto㤼㹣ci NA na skutek przekszta戼㸳cenia#połączenie wszystkich elementów w jedną tabelę
kolejnosc <- data.frame(kolejnosc=c("ZA_UWAGI","RZ_NAZWA","ZA_RO_ROK","ZA_TYPE","RZ_RODZAJ_ID","DZ_NAZWA","DZ_DZIAL_ID","TW_TWORCA_ID","AM_AUTOR_ID","AM_NAZWISKO","AM_IMIE","ZA_TYTUL","ZA_TYTUL_ORYGINALU","ZA_JEZYK_ORYGINALU","OS_OSOBA_ID","OS_NAZWISKO","OS_IMIE","fo_symbol","za_opis_wspoltworcow","wydanie","za_tomy","instytucja","WY_WYDAWNICTWO_ID","WY_MIASTO","WY_NAZWA","za_rok_wydania","za_opis_ks","seria","TW_NAZWISKO","TW_IMIE","redaktor_dzialu","ZA_ADNOTACJE","BN_URL"))
polaczone <- data %>%
select(ZA_UWAGI) %>%
left_join(.,pola_pbl,by = "ZA_UWAGI") %>%
left_join(.,BN_autor,by = "ZA_UWAGI") %>%
left_join(.,za_tytul,by = "ZA_UWAGI") %>%
left_join(.,za_tytul_oryginalu,by = "ZA_UWAGI") %>%
left_join(.,za_jezyk_oryginalu,by = "ZA_UWAGI") %>%
left_join(.,BN_wspoltworca,by = "ZA_UWAGI") %>%
left_join(.,za_opis_wspoltworcow,by = "ZA_UWAGI") %>%
left_join(.,za_wydanie,by = "ZA_UWAGI") %>%
left_join(.,za_instytucja,by = "ZA_UWAGI") %>%
left_join(.,BN_wydawnictwo,by = "ZA_UWAGI") %>%
left_join(.,za_opis_ks,by = "ZA_UWAGI") %>%
left_join(.,za_seria_wydawnicza,by = "ZA_UWAGI") %>%
left_join(.,za_tomy,by = "ZA_UWAGI") %>%
left_join(.,za_adnotacje,by = "ZA_UWAGI") %>%
left_join(.,BN_URL,by = "ZA_UWAGI") %>%
select(as.vector(kolejnosc$kolejnosc))
colnames(polaczone) <- c("rekord_BN","rz_nazwa","za_ro_rok","za_type","rz_rodzaj_id","DZ_NAZWA","DZ_DZIAL_ID","tw_tworca_id","am_autor_id","am_nazwisko","am_imie","za_tytul","za_tytul_oryginalu","za_jezyk_oryginalu","os_osoba_id","os_nazwisko","os_imie","fo_symbol","za_opis_wspoltworcow","za_wydanie","za_tomy","za_instytucja","wy_wydawnictwo_id","wy_miejsce","wy_nazwa","za_rok_wydania","za_opis_fizyczny_ksiazki","za_seria_wydawnicza","tw_nazwisko","tw_imie","pracownik","za_adnotacje","BN_URL")
#zasygnalizowanie niepoprawnego kodowania
x <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("<U\\+(....)>",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)!=0,paste(polaczone$za_adnotacje,paste("UWAGA! Błąd kodowania w polu ",as.character(names(polaczone[i]))," Znajdź frazę \"???\" i zredaguj pole",sep = ""),sep = "# "),paste("UWAGA! Błąd kodowania w polu ",as.character(names(polaczone[i]))," Znajdź frazę \"???\" i zredaguj pole",sep = "")),as.character(polaczone$za_adnotacje))
polaczone[,i] <- gsub("<U\\+(....)>", "???", polaczone[,i])
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności znaku $ w którymś z pól
X <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("\\$",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)==0,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano znak \"$\". Zredaguj treść pola.",sep = ""),paste(polaczone$za_adnotacje,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano znak \"$\". Zredaguj treść pola.",sep = ""),sep = "# ")),as.character(polaczone$za_adnotacje))
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności frazy "character(0)" w którymś z pól
X <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("character\\(0\\)",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)==0,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano frazę \"character(0)\". Zredaguj treść pola.",sep = ""),paste(polaczone$za_adnotacje,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano frazę \"character(0)\". Zredaguj treść pola.",sep = ""),sep = "# ")),as.character(polaczone$za_adnotacje))
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności znaku # w opisie współtwórców
polaczone$za_adnotacje <- ifelse(grepl("\\#",polaczone$za_opis_wspoltworcow),
ifelse(nchar(polaczone$za_adnotacje)==0,"UWAGA! Ze względu na konflikt w opisie współtwórców wybierz właściwą wartość (strefa odpowiedzialności \"#\" współtwórcy z pola 700)",paste(polaczone$za_adnotacje,"UWAGA! Ze względu na konflikt w opisie współtwórców wybierz właściwą wartość (strefa odpowiedzialności # współtwórcy z pola 700)",sep = "# ")),as.character(polaczone$za_adnotacje))
out <- cSplit(polaczone, c("am_autor_id", "am_nazwisko", "am_imie","os_osoba_id","os_nazwisko", "os_imie", "fo_symbol","wy_wydawnictwo_id","wy_miejsce","wy_nazwa"),sep = "|",direction = "long") %>%
unique()
out$rekord_BN <- ifelse(is.na(out$rekord_BN),'',as.character(out$rekord_BN))
out$rz_nazwa <- ifelse(is.na(out$rz_nazwa),'',as.character(out$rz_nazwa))
out$za_ro_rok <- ifelse(is.na(out$za_ro_rok),'',as.character(out$za_ro_rok))
out$za_type <- ifelse(is.na(out$za_type),'',as.character(out$za_type))
out$rz_rodzaj_id <- ifelse(is.na(out$rz_rodzaj_id),'',as.character(out$rz_rodzaj_id))
out$DZ_NAZWA <- ifelse(is.na(out$DZ_NAZWA),'',as.character(out$DZ_NAZWA))
out$DZ_DZIAL_ID <- ifelse(is.na(out$DZ_DZIAL_ID),'',as.character(out$DZ_DZIAL_ID))
out$tw_tworca_id <- ifelse(is.na(out$tw_tworca_id),'',as.character(out$tw_tworca_id))
out$am_autor_id <- ifelse(is.na(out$am_autor_id),'',as.character(out$am_autor_id))
out$am_nazwisko <- ifelse(is.na(out$am_nazwisko),'',as.character(out$am_nazwisko))
out$am_imie <- ifelse(is.na(out$am_imie),'',as.character(out$am_imie))
out$za_tytul <- ifelse(is.na(out$za_tytul),'',as.character(out$za_tytul))
out$za_tytul_oryginalu <- ifelse(is.na(out$za_tytul_oryginalu),'',as.character(out$za_tytul_oryginalu))
out$za_jezyk_oryginalu <- ifelse(is.na(out$za_jezyk_oryginalu),'',as.character(out$za_jezyk_oryginalu))
out$os_osoba_id <- ifelse(is.na(out$os_osoba_id),'',as.character(out$os_osoba_id))
out$os_nazwisko <- ifelse(is.na(out$os_nazwisko),'',as.character(out$os_nazwisko))
out$os_imie <- ifelse(is.na(out$os_imie),'',as.character(out$os_imie))
out$fo_symbol <- ifelse(is.na(out$fo_symbol),'',as.character(out$fo_symbol))
out$za_opis_wspoltworcow <- ifelse(is.na(out$za_opis_wspoltworcow),'',as.character(out$za_opis_wspoltworcow))
out$za_wydanie <- ifelse(is.na(out$za_wydanie),'',as.character(out$za_wydanie))
out$za_tomy <- ifelse(is.na(out$za_tomy),'',as.character(out$za_tomy))
out$za_instytucja <- ifelse(is.na(out$za_instytucja),'',as.character(out$za_instytucja))
out$wy_wydawnictwo_id <- ifelse(is.na(out$wy_wydawnictwo_id),'',as.character(out$wy_wydawnictwo_id))
out$wy_miejsce <- ifelse(is.na(out$wy_miejsce),'',as.character(out$wy_miejsce))
out$wy_nazwa <- ifelse(is.na(out$wy_nazwa),'',as.character(out$wy_nazwa))
out$za_rok_wydania <- ifelse(is.na(out$za_rok_wydania),'',as.character(out$za_rok_wydania))
out$za_opis_fizyczny_ksiazki <- ifelse(is.na(out$za_opis_fizyczny_ksiazki),'',as.character(out$za_opis_fizyczny_ksiazki))
out$za_seria_wydawnicza <- ifelse(is.na(out$za_seria_wydawnicza),'',as.character(out$za_seria_wydawnicza))
out$tw_nazwisko <- ifelse(is.na(out$tw_nazwisko),'',as.character(out$tw_nazwisko))
out$tw_imie <- ifelse(is.na(out$tw_imie),'',as.character(out$tw_imie))
out$pracownik <- ifelse(is.na(out$pracownik),'',as.character(out$pracownik))
out$za_adnotacje <- ifelse(is.na(out$za_adnotacje),'',as.character(out$za_adnotacje))
out$BN_URL <- ifelse(is.na(out$BN_URL),'',as.character(out$BN_URL))
out %$%
{ rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,) & BN_URL==lag(BN_URL,)} %>%
as.numeric() %>%
{.} -> out$same
out$same[1] <- 0
out$dzielone <- paste(out$am_autor_id,out$am_nazwisko,out$am_imie,out$os_osoba_id,out$os_nazwisko,out$os_imie,out$fo_symbol,out$wy_wydawnictwo_id,out$wy_miejsce,out$wy_nazwa,sep = "")
out <- out %>%
filter(!(same==1&dzielone=="")) %>%
select(1:33)
out %$%
{ rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,) & BN_URL==lag(BN_URL,)} %>%
as.numeric() %>%
{.} -> out$same
#ucięcie zbyt długich ciągów znaków, by weszły do oracle'a
dlugosci <- data.frame(pole = c("am_nazwisko", "am_imie", "za_tytul", "za_tytul_oryginalu", "za_jezyk_oryginalu", "os_nazwisko", "os_imie", "za_opis_wspoltworcow", "za_instytucja", "wy_miejsce", "wy_nazwa", "za_opis_fizyczny_ksiazki", "za_seria_wydawnicza", "tw_nazwisko", "tw_imie", "za_adnotacje"), liczba_znakow = c(50,40,500,500,100,50,40,500,255,40,255,1000,255,200,40,2000))
x <- match(dlugosci$pole,names(out))
for (i in x) {
progress(match(i,x), max.value = length(x))
dlugosc <- dlugosci$liczba_znakow[match(names(out[i]),dlugosci$pole)]
out$za_adnotacje <- ifelse(dlugosc<nchar(as.character(out[,i]))&out$za_adnotacje!="",paste(out$za_adnotacje,paste("UWAGA! Pole ",as.character(names(out[i]))," było zbyt długie i zostało przycięte. Zredaguj treść pola.",sep = ""),sep = "# "),
ifelse(dlugosc<nchar(as.character(out[,i]))&out$za_adnotacje=="",paste("UWAGA! Pole ",as.character(names(out[i]))," było zbyt długie i zostało przycięte. Zredaguj treść pola.",sep = ""),as.character(out$za_adnotacje)))
out[,i] <- ifelse(dlugosc<nchar(as.character(out[,i])),as.character(substr(out[,i],1,dlugosc)),as.character(out[,i]))
}Progress: 1 on 16 Progress: 2 on 16 Progress: 3 on 16 Progress: 4 on 16 Progress: 5 on 16 Progress: 6 on 16 Progress: 7 on 16 Progress: 8 on 16 Progress: 9 on 16 Progress: 10 on 16 Progress: 11 on 16 Progress: 12 on 16 Progress: 13 on 16 Progress: 14 on 16 Progress: 15 on 16 Progress: 16 on 16 out$rekord_BN[out$same == 1] <- ""
out$rz_nazwa[out$same == 1] <- ""
out$za_ro_rok[out$same == 1] <- ""
out$za_type[out$same == 1] <- ""
out$rz_rodzaj_id[out$same == 1] <- ""
out$DZ_NAZWA[out$same == 1] <- ""
out$DZ_DZIAL_ID[out$same == 1] <- ""
out$tw_tworca_id[out$same == 1] <- ""
out$za_tytul[out$same == 1] <- ""
out$za_tytul_oryginalu[out$same == 1] <- ""
out$za_jezyk_oryginalu[out$same == 1] <- ""
out$za_opis_wspoltworcow[out$same == 1] <- ""
out$za_wydanie[out$same == 1] <- ""
out$za_tomy[out$same == 1] <- ""
out$za_instytucja[out$same == 1] <- ""
out$za_rok_wydania[out$same == 1] <- ""
out$za_opis_fizyczny_ksiazki[out$same == 1] <- ""
out$za_seria_wydawnicza[out$same == 1] <- ""
out$tw_nazwisko[out$same == 1] <- ""
out$tw_imie[out$same == 1] <- ""
out$pracownik[out$same == 1] <- ""
out$za_adnotacje[out$same == 1] <- ""
out$BN_URL[out$same == 1] <- ""
out <- out %>%
select(1:33)
#pętla zapisująca po ok. 2000 wierszy z uwzględnieniem kompletności rekordów bibliograficznych rozpisanych na kilka wierszy
out <- out %>%
mutate(podzial = ifelse(rekord_BN!="",as.character(rekord_BN),NA)) %>%
fill(podzial)
ile <- unique(out$podzial)
ile <- split(unique(ile), ceiling(seq_along(unique(ile))/1500))
x <- 1:length(ile)
for (i in x) {
progress(match(i,x), max.value = length(x))
final <- out %>%
filter(podzial %in% ile[[i]]) %>%
select(-podzial)
write.xlsx(final, paste("C:/Users/",employee_name,"/Desktop/",import_year,"_antologie_do_importu",i,".xlsx",sep = ""),sheetName = "gotowe")
}Progress: 1 on 1 bn_ok <- chunk11
data <- bn_ok %>%
filter(rodzaj_ksiazki=="współwydanie") %>%
mutate(redaktor_dzialu = paste(redaktor_dzialu,"_wsp",sep = ""))
#uwolnienie kolumn z danymi z bn i przetworzenie do PBL
#1: za_uwagi, rz_nazwa, za_ro_rok, za_type, rz_rodzaj_id, tw_tworca_id, tw_nazwisko, tw_imie, dz_dzial_id, dz_nazwa, redaktor_dzialu
pola_pbl <- data %>%
select(ZA_UWAGI, RZ_NAZWA, ZA_RO_ROK = rok, RZ_RODZAJ_ID, TW_TWORCA_ID, TW_NAZWISKO, TW_IMIE, DZ_DZIAL_ID, DZ_NAZWA, redaktor_dzialu) %>%
mutate(ZA_TYPE = "KS")
#2: autor
BN_autor <- data %>%
select(ZA_UWAGI,X245) %>%
mutate(X245 = str_extract(X245, "(?<=\\/\\$c)(.*?)(?= ;|$)"),
X245 = str_remove(X245,"\\.$"),
X245 = str_remove(X245,"\\["),
X245 = str_remove(X245,"\\]"),
AM_NAZWISKO = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),as.character(X245),str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\3")),
AM_IMIE = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),"*",str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\1")),
nazwa = str_replace_all(str_to_lower(paste(AM_NAZWISKO,AM_IMIE, sep = "")), "\\W", "")) %>%
left_join(.,PBL_autorzy %>% select(AM_AUTOR_ID,AM_KRYPTONIM,AM_LICZBA_ZAPISOW,nazwa) %>% filter(is.na(AM_KRYPTONIM)),by="nazwa") %>%
arrange(ZA_UWAGI,AM_NAZWISKO,AM_IMIE,-AM_LICZBA_ZAPISOW)
BN_autor$id_grupy <- cumsum(!duplicated(BN_autor[1:4]))
BN_autor <- BN_autor[!duplicated(BN_autor$id_grupy),] %>%
mutate(ZA_ADNOTACJE = NA) %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE,ZA_ADNOTACJE,AM_AUTOR_ID)
#3: tytuł
#pole 245
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 if("$n" %in% colnames(marc_field_245)) {
marc_field_245 <- marc_field_245 %>%
select(ZA_UWAGI,`$a`,`$b`,`$n`,`$p`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = " "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = " "),
`$n` = paste(ifelse(is.na(`$n`),"",as.character(`$n`)),collapse = " "),
`$p` = paste(ifelse(is.na(`$p`),"",as.character(`$p`)),collapse = " ")) %>%
ungroup() %>%
unique() %>%
unite("ZA_TYTUL",`$a`:`$p`,sep = " ",na.rm = TRUE) %>%
mutate(ZA_TYTUL = str_replace_all(ZA_TYTUL," +"," "),
ZA_TYTUL = str_remove(ZA_TYTUL, "\\s+\\/\\s{0,}$"),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = str_replace_all(ZA_TYTUL,"\\.{3} \\.{3}","... "),
ZA_TYTUL = str_replace_all(ZA_TYTUL," ; ",". "),
ZA_TYTUL = gsub("( : )(.)",". \\U\\2",perl=TRUE,ZA_TYTUL)) %>%
select(ZA_UWAGI,ZA_TYTUL)
} else {
marc_field_245 <- marc_field_245 %>%
select(ZA_UWAGI,`$a`,`$b`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = " "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = " ")) %>%
ungroup() %>%
unique() %>%
unite("ZA_TYTUL",`$a`:`$b`,sep = " ",na.rm = TRUE) %>%
mutate(ZA_TYTUL = str_replace_all(ZA_TYTUL," +"," "),
ZA_TYTUL = str_remove(ZA_TYTUL, "\\s+\\/\\s{0,}$"),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = str_replace_all(ZA_TYTUL,"\\.{3} \\.{3}","... "),
ZA_TYTUL = str_replace_all(ZA_TYTUL," ; ",". "),
ZA_TYTUL = gsub("( : )(.)",". \\U\\2",perl=TRUE,ZA_TYTUL)) %>%
select(ZA_UWAGI,ZA_TYTUL)
}
tytul_wspolwydanie <- marc_field_245
#dopisanie gatunku do przedmiotowej na podstawie 655 i 650
gatunki_pbl <- data.frame(gatunek = c("aforyzm", "album", "antologia", "autobiografia", "dziennik", "esej", "felieton", "inne", "kazanie", "list", "miniatura prozą", "opowiadanie", "poemat", "powieść", "proza", "proza poetycka", "reportaż", "rozmyślanie religijne", "rysunek, obraz", "scenariusz", "szkic", "tekst biblijny", "tekst dramatyczny", "dramat", "wiersz", "wspomnienia", "wypowiedź", "pamiętniki", "poezja", "literatura podróżnicza", "satyra", "piosenka"))
#dramat, pamiętniki, poezja, literatura podróżnicza, satyra, piosenka
gatunki_bn <- data %>%
select(ZA_UWAGI,X655,X650)
gatunki_bn <- sqldf("select *
from gatunki_bn
left join gatunki_pbl on lower(gatunki_bn.X655) like '%'||gatunki_pbl.gatunek||'%'")
gatunki_bn <- sqldf("select *
from gatunki_bn
left join gatunki_pbl on lower(gatunki_bn.X650) like '%'||gatunki_pbl.gatunek||'%'")
colnames(gatunki_bn)[5] <- "gatunek2"
gatunki_bn <- gatunki_bn %>%
mutate(gatunek = ifelse(is.na(gatunek)&!is.na(gatunek2),as.character(gatunek2),as.character(gatunek)),
gatunek = ifelse(grepl("przypowieść",X655,ignore.case = TRUE)&!grepl("[^y]powieść",X655)&gatunek=="powieść","opowiadanie",as.character(gatunek))) %>%
filter(!is.na(gatunek)) %>%
select(ZA_UWAGI,gatunek) %>%
mutate(gatunek = ifelse(gatunek=="dramat","tekst dramatyczny",
ifelse(gatunek=="pamiętniki","wspomnienia",
ifelse(gatunek=="poezja","wiersz",
ifelse(gatunek=="literatura podróżnicza","reportaż",
ifelse(gatunek=="piosenka","wiersz",as.character(gatunek))))))) %>%
group_by(ZA_UWAGI) %>%
mutate(gatunek = paste(gatunek,collapse = ", ")) %>%
ungroup() %>%
unique() %>%
mutate(gatunek = gsub("(^.)","\\U\\1",perl = TRUE, gatunek))
#połączenie tytułu z gatunkiem
za_tytul <- marc_field_245 %>%
left_join(.,gatunki_bn,by="ZA_UWAGI") %>%
mutate(gatunek = paste("[",gatunek,"]",sep = ""),
gatunek = ifelse(gatunek=="[NA]",NA,as.character(gatunek))) %>%
unite("ZA_TYTUL", ZA_TYTUL:gatunek, sep = ". ",na.rm=TRUE) %>%
mutate(ZA_TYTUL = str_replace_all(ZA_TYTUL,"\\. \\.",". "),
ZA_TYTUL = str_replace(ZA_TYTUL,"(\\!)(\\.)|(\\?)(\\.)","\\1"))
#4: tytuł oryginału
#pole 246
marc_field_246 <- data %>%
select(ZA_UWAGI,X246)%>%
filter(X246!="") %>%
mutate(X246=str_remove_all(X246,"~"),
X246=str_replace_all(X246,"(^|\\|)","~\\1")) %>%
cSplit(.,"X246",sep = "~",direction = "long") %>%
filter(X246!="") %>%
mutate(X246=str_remove_all(X246,"^\\|")) %>%
mutate(indicator = str_replace_all(X246,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X246,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_246)[1]))
colnames(empty_table) <-subfield_list
marc_field_246<-cbind(marc_field_246,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_246$X246 <- str_replace(marc_field_246$X246,subfield_list_char[i],"|\\1")
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_246[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_246$X246),str_replace_all(gsub(string,"\\3",marc_field_246$X246),"\\${2}.", "~"),NA)
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 if("$n" %in% colnames(marc_field_246)) {
marc_field_246 <- marc_field_246[, colSums(is.na(marc_field_246)) != nrow(marc_field_246)] %>%
filter(grepl("oryg",X246)) %>%
select(ZA_UWAGI,`$a`,`$b`,`$n`,`$p`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = ", "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = ""),
`$n` = paste(ifelse(is.na(`$n`),"",as.character(`$n`)),collapse = ""),
`$p` = paste(ifelse(is.na(`$p`),"",as.character(`$p`)),collapse = "")) %>%
ungroup() %>%
unique() %>%
unite("X246",`$a`:`$p`,sep = " ",na.rm = TRUE) %>%
mutate(X246 = str_replace_all(X246," +"," "),
X246 = str_remove(X246, "\\s+\\/\\s{0,}$"),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X246),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( ){0,1}(.)",X246),gsub("(\\W)( )(:|;)( ){0,1}(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = str_replace_all(X246,"\\.{3} \\.{3}","... "),
X246 = gsub("( : )(.)",". \\U\\2",perl=TRUE,X246)) %>%
select(ZA_UWAGI, X246)
} else if ("$b" %in% colnames(marc_field_246)){
marc_field_246 <- marc_field_246[, colSums(is.na(marc_field_246)) != nrow(marc_field_246)] %>%
filter(grepl("oryg",X246)) %>%
select(ZA_UWAGI,`$a`,`$b`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = ", "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = "")) %>%
ungroup() %>%
unique() %>%
unite("X246",`$a`:`$b`,sep = " ",na.rm = TRUE) %>%
mutate(X246 = str_replace_all(X246," +"," "),
X246 = str_remove(X246, "\\s+\\/\\s{0,}$"),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X246),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( ){0,1}(.)",X246),gsub("(\\W)( )(:|;)( ){0,1}(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = str_replace_all(X246,"\\.{3} \\.{3}","... "),
X246 = gsub("( : )(.)",". \\U\\2",perl=TRUE,X246)) %>%
select(ZA_UWAGI, X246)
} else {
marc_field_246 <- marc_field_246[, colSums(is.na(marc_field_246)) != nrow(marc_field_246)] %>%
filter(grepl("oryg",X246)) %>%
select(ZA_UWAGI,`$a`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = ", ")) %>%
ungroup() %>%
unique() %>%
unite("X246",`$a`,sep = " ",na.rm = TRUE) %>%
mutate(X246 = str_replace_all(X246," +"," "),
X246 = str_remove(X246, "\\s+\\/\\s{0,}$"),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X246),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( ){0,1}(.)",X246),gsub("(\\W)( )(:|;)( ){0,1}(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = str_replace_all(X246,"\\.{3} \\.{3}","... "),
X246 = gsub("( : )(.)",". \\U\\2",perl=TRUE,X246)) %>%
select(ZA_UWAGI, X246)
}
#pole 500
marc_field_500 <- data %>%
select(ZA_UWAGI,X500)%>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"~"),
X500=str_replace_all(X500,"(^|\\|)","~\\1")) %>%
cSplit(.,"X500",sep = "~",direction = "long") %>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"^\\|")) %>%
mutate(indicator = str_replace_all(X500,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X500,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_500)[1]))
colnames(empty_table) <-subfield_list
marc_field_500<-cbind(marc_field_500,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_500$X500 <- str_replace(marc_field_500$X500,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_500[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_500$X500),str_replace_all(gsub(string,"\\3",marc_field_500$X500),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_500 <- marc_field_500 %>%
filter(grepl("oryg\\.\\:",X500)) %>%
mutate(X500 = str_remove(`$a`,"^Tyt\\. oryg\\.: |^Tyt\\, oryg\\.: |^.*?tyt\\. oryg\\.: "),
X500 = str_remove(X500, "\\s+\\/\\s{0,}$"),
X500 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X500),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X500),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X500),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X500),as.character(X500))))),
X500 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X500),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X500),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X500),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X500),as.character(X500))))),
X500 = str_replace_all(X500,"\\.{3} \\.{3}","... "),
X500 = str_remove(X500, "\\.$"),
X500 = str_remove(X500,"(,{0,1} {0,1})\\d{4}.*$|(, t|. T)yt. oryg. cyklu:")) %>%
select(ZA_UWAGI,X500)
#tytuł oryginału
za_tytul_oryginalu <- data %>%
select(ZA_UWAGI) %>%
left_join(.,marc_field_246,by="ZA_UWAGI") %>%
left_join(.,marc_field_500,by="ZA_UWAGI") %>%
mutate(X500 = ifelse(is.na(X500),NA,
ifelse(grepl("oryg",X500),NA,as.character(X500))),
X500 = ifelse(!is.na(X500)&grepl("\\. - ",X500),str_replace(X500,"(.*?)(\\. - .*$)","\\1"),as.character(X500)),
X500 = ifelse(!is.na(X500)&grepl("Na książce pseud",X500),str_replace(X500,"(.*?)(\\. Na książce pseud.*$)","\\1"),as.character(X500)),
X500 = ifelse(!is.na(X500)&grepl("Przekł\\. wg",X500),str_replace(X500,"(.*?)(\\. Przekł\\. wg.*$)","\\1"),as.character(X500)),
ZA_TYTUL_ORYGINALU = ifelse(is.na(X246)&is.na(X500),NA,
ifelse(!is.na(X500),as.character(X500),as.character(X246))),
ZA_TYTUL_ORYGINALU = str_remove_all(ZA_TYTUL_ORYGINALU,'\\"')) %>%
select(ZA_UWAGI,ZA_TYTUL_ORYGINALU)
#5: język oryginału
marc_field_041 <- data %>%
select(ZA_UWAGI,X041)%>%
filter(X041!="") %>%
mutate(X041=str_replace_all(X041,"(^|\\|)","~\\1")) %>%
cSplit(.,"X041",sep = "~",direction = "long") %>%
filter(X041!="") %>%
mutate(X041=str_remove_all(X041,"^\\|")) %>%
mutate(indicator = str_replace_all(X041,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X041,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_041)[1]))
colnames(empty_table) <-subfield_list
marc_field_041<-cbind(marc_field_041,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_041$X041 <- str_replace(marc_field_041$X041,subfield_list_char[i],"|\\1")
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_041[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_041$X041),str_replace_all(gsub(string,"\\3",marc_field_041$X041),"\\${2}.", "~"),NA)
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 za_jezyk_oryginalu <- data %>%
select(ZA_UWAGI) %>%
left_join(.,marc_field_041 %>% select(ZA_UWAGI,ZA_JEZYK_ORYGINALU = `$a`),by="ZA_UWAGI") %>%
mutate(ZA_JEZYK_ORYGINALU = str_replace_all(ZA_JEZYK_ORYGINALU,"\\$a",",")) %>%
unique()
#6: współtwórcy
BN_wspoltworca <- data %>%
select(ZA_UWAGI,X245) %>%
mutate(wspoltworca = str_remove(str_remove_all(as.character(str_extract_all(data$X245,"(?<=; )(.*)(?=$)")),"\\.$"),"character\\(0\\)"),
wspoltworca = str_remove_all(wspoltworca," et al\\."))
marc_field_700 <- data %>%
select(ZA_UWAGI,X700)%>%
filter(X700!="") %>%
mutate(X700=str_replace_all(X700,"(..\\$a)","|\\1"),
X700=str_replace_all(X700,"(^|\\|)","~\\1")) %>%
cSplit(.,"X700",sep = "~",direction = "long") %>%
filter(X700!="") %>%
mutate(X700=str_remove_all(X700,"^\\|")) %>%
mutate(indicator = str_replace_all(X700,"(^.*?)(\\$.*)","\\1")) %>%
filter(X700!="")
subfield_list<- str_extract_all(data$X700,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_700)[1]))
colnames(empty_table) <-subfield_list
marc_field_700<-cbind(marc_field_700,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_700$X700 <- str_replace(marc_field_700$X700,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_700[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_700$X700),str_replace_all(gsub(string,"\\3",marc_field_700$X700),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 marc_field_700 <- marc_field_700 %>%
select(ZA_UWAGI,osoba = `$a`,funkcja = `$e`) %>%
filter(!is.na(funkcja)) %>%
mutate(osoba = str_remove(osoba,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)"),
osoba = ifelse(!grepl(",",osoba)&str_count(osoba," ")==1,str_replace(osoba," ",", "),as.character(osoba)),
OS_NAZWISKO = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\1"),as.character(osoba)),
OS_IMIE = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\3"),"*"),
ws_prosty = str_replace_all(str_to_lower(osoba), "\\W", ""),
fu_prosta = str_replace_all(str_to_lower(funkcja), "\\W", ""))
BN_wspoltworca <- BN_wspoltworca %>%
left_join(marc_field_700,by="ZA_UWAGI")
x <- 1:nrow(BN_wspoltworca)
for (i in x) {
progress(match(i,x), max.value = length(x))
BN_wspoltworca$czy_nazwisko[i] <- grepl(BN_wspoltworca$OS_NAZWISKO[i],BN_wspoltworca$wspoltworca[i])
BN_wspoltworca$czy_imie[i] <- grepl(BN_wspoltworca$OS_IMIE[i],BN_wspoltworca$wspoltworca[i])
}Progress: 1 on 38 Progress: 2 on 38 Progress: 3 on 38 Progress: 4 on 38 Progress: 5 on 38 Progress: 6 on 38 Progress: 7 on 38 Progress: 8 on 38 Progress: 9 on 38 Progress: 10 on 38 Progress: 11 on 38 Progress: 12 on 38 Progress: 13 on 38 Progress: 14 on 38 Progress: 15 on 38 Progress: 16 on 38 Progress: 17 on 38 Progress: 18 on 38 Progress: 19 on 38 Progress: 20 on 38 Progress: 21 on 38 Progress: 22 on 38 Progress: 23 on 38 Progress: 24 on 38 Progress: 25 on 38 Progress: 26 on 38 Progress: 27 on 38 Progress: 28 on 38 Progress: 29 on 38 Progress: 30 on 38 Progress: 31 on 38 Progress: 32 on 38 Progress: 33 on 38 Progress: 34 on 38 Progress: 35 on 38 Progress: 36 on 38 Progress: 37 on 38 Progress: 38 on 38 if (grepl("0|1",BN_wspoltworca$czy_nazwisko[1])) {
BN_wspoltworca <- BN_wspoltworca %>%
filter(czy_nazwisko==1|czy_imie==1)
} else {
BN_wspoltworca <- BN_wspoltworca %>%
filter(czy_nazwisko==TRUE|czy_imie==TRUE)
}
BN_wspoltworca <- BN_wspoltworca %>%
left_join(.,PBL_wspoltworcy %>% select(OS_OSOBA_ID,OS_LICZBA_ZAPISOW,nazwa_prosta),by=c("ws_prosty"="nazwa_prosta")) %>%
arrange(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,-OS_LICZBA_ZAPISOW)
BN_wspoltworca$id_grupy <- cumsum(!duplicated(BN_wspoltworca[1:4]))
BN_wspoltworca <- BN_wspoltworca[!duplicated(BN_wspoltworca$id_grupy),] %>%
left_join(.,PBL_funkcje,by=c("fu_prosta"="nazwa")) %>%
mutate(fo_symbol = ifelse(fo_symbol=="NULL",NA,as.character(fo_symbol)),
ZA_ADNOTACJE = NA) %>%
select(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,OS_OSOBA_ID,fo_symbol,fo_nazwa,funkcja)
#7: opis współtwórców
za_opis_wspoltworcow <- BN_wspoltworca %>%
select(ZA_UWAGI,funkcja,OS_IMIE,OS_NAZWISKO) %>%
unite("za_opis_wspoltworcow",c(funkcja,OS_IMIE,OS_NAZWISKO),sep = " ",na.rm = TRUE) %>%
group_by(ZA_UWAGI) %>%
mutate(za_opis_wspoltworcow = paste(za_opis_wspoltworcow,collapse = ". ")) %>%
ungroup() %>%
unique() %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#8 wydanie
marc_field_250 <- data %>%
select(ZA_UWAGI,X250)%>%
filter(X250!="")
if (nrow(marc_field_250) != 0){
marc_field_250 <- marc_field_250 %>%
mutate(X250=str_replace_all(X250,"(^|\\|)","~\\1")) %>%
cSplit(.,"X250",sep = "~",direction = "long") %>%
filter(X250!="") %>%
mutate(X250=str_remove_all(X250,"^\\|")) %>%
mutate(indicator = str_replace_all(X250,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X250,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_250)[1]))
colnames(empty_table) <-subfield_list
marc_field_250<-cbind(marc_field_250,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_250$X250 <- str_replace(marc_field_250$X250,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_250[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_250$X250),str_replace_all(gsub(string,"\\3",marc_field_250$X250),"\\${2}.", "~"),NA)
}
za_wydanie <- marc_field_250 %>%
select(ZA_UWAGI, wydanie = `$a`) %>%
mutate(wydanie = str_remove(wydanie," \\/$")) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
} else {
za_wydanie <- data.frame(ZA_UWAGI = "", X250 = "", indicator = "", stringsAsFactors = FALSE) %>%
mutate(`$a` = "",
wydanie = "") %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
}
#9: instytucja sprawcza
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 za_instytucja <- marc_field_245 %>%
select(ZA_UWAGI,X245c=`$c`) %>%
filter(!is.na(X245c)) %>%
mutate(instytucja = ifelse(grepl("\\;",X245c),str_replace_all(X245c, "(.*?)(\\;(?!.*\\;))( )+(.*?$)","\\4"),"")) %>%
left_join(.,BN_wspoltworca,by="ZA_UWAGI")
x <- 1:lengths(za_instytucja[1])
for (i in x) {
progress(match(i,x), max.value = length(x))
za_instytucja$czy_nazwisko[i] <- grepl(za_instytucja$OS_NAZWISKO[i],za_instytucja$X245c[i])
za_instytucja$czy_imie[i] <- grepl(za_instytucja$OS_IMIE[i],za_instytucja$X245c[i])
}Progress: 1 on 27 Progress: 2 on 27 Progress: 3 on 27 Progress: 4 on 27 Progress: 5 on 27 Progress: 6 on 27 Progress: 7 on 27 Progress: 8 on 27 Progress: 9 on 27 Progress: 10 on 27 Progress: 11 on 27 Progress: 12 on 27 Progress: 13 on 27 Progress: 14 on 27 Progress: 15 on 27 Progress: 16 on 27 Progress: 17 on 27 Progress: 18 on 27 Progress: 19 on 27 Progress: 20 on 27 Progress: 21 on 27 Progress: 22 on 27 Progress: 23 on 27 Progress: 24 on 27 Progress: 25 on 27 Progress: 26 on 27 Progress: 27 on 27 za_instytucja <- za_instytucja %>%
filter(is.na(czy_nazwisko)&is.na(czy_imie)) %>%
filter(instytucja!="") %>%
filter(!grepl("^\\[[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]|^[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]",instytucja)) %>%
mutate(instytucja = str_remove(instytucja,"\\.$")) %>%
select(ZA_UWAGI,instytucja) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#10: wydawnictwo
BN_wydawnictwo <- data %>%
select(ZA_UWAGI, X260) %>%
mutate(X260 = str_replace_all(X260,"s\\.n\\.", "b.w."),
X260 = str_replace_all(X260,"s\\.l\\.", "b.m."),
X260 = str_replace_all(X260,"S\\.l\\.", "b.m."),
X260 = str_remove(X260,"^\\\\+"),
rok_wydania = str_extract_all(X260, "(?<=\\$c).*(?=\\$e)|(?<=\\$c).*"),
bez_roku = str_replace_all(X260, ".\\$c.*", ""),
ile_wydawnictw = str_count(bez_roku, "\\$b"),
ile_miejsc = str_count(bez_roku, "\\$a"),
kolejnosc = str_replace_all(as.character(str_extract_all(bez_roku, "\\$.")), "[^a-z]", ""),
bez_roku = str_replace_all(bez_roku, ";\\$b", ":$b"),
wydaw_podziel = ifelse(ile_wydawnictw>ile_miejsc|kolejnosc=="caabb", str_replace_all(bez_roku, "(\\$a)(.*?)( :\\$b.*?)( :\\$b)", "\\1\\2\\3 ;$a\\2\\4"),bez_roku),
wydawnictwo_test = str_replace_all(wydaw_podziel, "(\\$b)(.*?)( ;\\$a)", "\\1\\2|\\3")) %>%
select(ZA_UWAGI,rok_wydania,wydawnictwo_test) %>%
cSplit(., "wydawnictwo_test", sep = "|", direction = "long") %>%
mutate(wydawnictwo = str_extract_all(wydawnictwo_test, "(?<=\\$b)(.*)"),
miejsce_wydania = str_replace_all(str_extract_all(wydawnictwo_test, "(?<=\\$a)(.*)(?= {0,1}: {0,1}\\$b)|(?<=\\$a)(.*)($)")," ;\\$a", ", "),
nazwa_prosta = str_to_lower(str_replace_all(str_replace_all(unlist(wydawnictwo_test), "\\$\\w", ""), "\\W", ""))) %>%
left_join(.,PBL_wydawnictwa,by="nazwa_prosta") %>%
mutate(to_samo = wydawnictwo==WY_NAZWA) %>%
arrange(ZA_UWAGI,-to_samo,-WY_LICZBA_ZAPISOW)
BN_wydawnictwo$id_grupy <- cumsum(!duplicated(BN_wydawnictwo[1:3]))
BN_wydawnictwo <- BN_wydawnictwo[!duplicated(BN_wydawnictwo$id_grupy),] %>%
mutate(WY_NAZWA = ifelse(!is.na(WY_NAZWA),as.character(WY_NAZWA),as.character(wydawnictwo)),
WY_MIASTO = ifelse(!is.na(WY_MIASTO),as.character(WY_MIASTO),trim(as.character(miejsce_wydania))),
rok_wydania = str_replace_all(rok_wydania, "(.*)(\\.)", "\\1"),
za_rok_wydania = ifelse(nchar(rok_wydania)==4,as.character(rok_wydania),NA),
do_opisu = ifelse(is.na(za_rok_wydania),paste("[",str_extract(rok_wydania,"\\d{4}"),"]",sep = ""),""),
WY_MIASTO = ifelse(substr(WY_MIASTO,1,1)=="["&substr(WY_MIASTO,nchar(WY_MIASTO),nchar(WY_MIASTO))!="]"&is.na(WY_WYDAWNICTWO_ID),paste(trim(WY_MIASTO),"]",sep = ""),as.character(WY_MIASTO))) %>%
select(ZA_UWAGI,WY_WYDAWNICTWO_ID,WY_NAZWA,WY_MIASTO,za_rok_wydania,do_opisu) %>%
mutate(WY_NAZWA = ifelse(str_count(WY_NAZWA, "\\[")>str_count(WY_NAZWA, "\\]"), paste(WY_NAZWA, "]", sep = ""),
ifelse(str_count(WY_NAZWA, "\\[")<str_count(WY_NAZWA, "\\]"), paste("[", WY_NAZWA, sep = ""), as.character(WY_NAZWA))),
WY_MIASTO = ifelse(str_count(WY_MIASTO, "\\[")>str_count(WY_MIASTO, "\\]"), paste(WY_MIASTO, "]", sep = ""),
ifelse(str_count(WY_MIASTO, "\\[")<str_count(WY_MIASTO, "\\]"), paste("[", WY_MIASTO, sep = ""), as.character(WY_MIASTO))))
#11: opis fizyczny książki
#pole 300 do opisu fizycznego
marc_field_300 <- data %>%
select(ZA_UWAGI,X300)%>%
filter(X300!="") %>%
mutate(X300=str_replace_all(X300,"(^|\\|)","~\\1")) %>%
cSplit(.,"X300",sep = "~",direction = "long") %>%
filter(X300!="") %>%
mutate(X300=str_remove_all(X300,"^\\|")) %>%
mutate(indicator = str_replace_all(X300,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X300,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_300)[1]))
colnames(empty_table) <-subfield_list
marc_field_300<-cbind(marc_field_300,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_300$X300 <- str_replace(marc_field_300$X300,subfield_list_char[i],"|\\1")
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_300[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_300$X300),str_replace_all(gsub(string,"\\3",marc_field_300$X300),"\\${2}.", "~"),NA)
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 if("$e" %in% colnames(marc_field_300)) {
marc_field_300 <- marc_field_300 %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"),
`$b` = str_remove(`$b`," \\;+$| \\:+$"),
`$e` = ifelse(grepl("CD-ROM|DVD|VCD|CD",`$e`)&grepl("\\+ dysk|płyt",`$e`),str_extract(`$e`,"(?<=\\+)(dysk|płyt.*?)(CD-ROM|DVD|VCD|CD)(\\)){0,1}"),
ifelse(grepl("CD-ROM|DVD|VCD|CD",`$e`),str_extract(`$e`,"(^.*?)(CD-ROM|DVD|VCD|CD)(\\)){0,1}"),NA)),
`$a` = ifelse(is.na(`$a`),"",as.character(`$a`)),
`$b` = ifelse(is.na(`$b`),"",as.character(`$b`)),
`$e` = ifelse(is.na(`$e`),"",as.character(`$e`)))
} else {
marc_field_300 <- marc_field_300 %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"),
`$b` = str_remove(`$b`," \\;+$| \\:+$"),
`$a` = ifelse(is.na(`$a`),"",as.character(`$a`)),
`$b` = ifelse(is.na(`$b`),"",as.character(`$b`)))
}
#pole 500 do opisu fizycznego
marc_field_500 <- data %>%
select(ZA_UWAGI,X500)%>%
filter(X500!="") %>%
mutate(X500=str_replace_all(X500,"(^|\\|)","~\\1")) %>%
cSplit(.,"X500",sep = "~",direction = "long") %>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"^\\|")) %>%
mutate(indicator = str_replace_all(X500,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X500,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_500)[1]))
colnames(empty_table) <-subfield_list
marc_field_500<-cbind(marc_field_500,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_500$X500 <- str_replace(marc_field_500$X500,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_500[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_500$X500),str_replace_all(gsub(string,"\\3",marc_field_500$X500),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_500 <- marc_field_500 %>%
mutate(`$a` = ifelse(grepl("oryg(\\.|\\,)",X500)&grepl("pseud|nazwa",X500,ignore.case = TRUE),str_replace(`$a`,"(^.*?)(\\. )(\\p{Lu}.*$)","\\3"),as.character(`$a`))) %>%
filter(!grepl("oryg(\\.|\\,)",`$a`)&grepl("pseud|nazwa|dotycz|pol",`$a`,ignore.case = TRUE)) %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"))
#pole 546 do opisu fizycznego
marc_field_546 <- data %>%
select(ZA_UWAGI,X546)%>%
filter(X546!="")
if (nrow(marc_field_546) != 0){
marc_field_546 <- marc_field_546 %>%
mutate(X546=str_replace_all(X546,"(^|\\|)","~\\1")) %>%
cSplit(.,"X546",sep = "~",direction = "long") %>%
filter(X546!="") %>%
mutate(X546=str_remove_all(X546,"^\\|")) %>%
mutate(indicator = str_replace_all(X546,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X546,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_546)[1]))
colnames(empty_table) <-subfield_list
marc_field_546<-cbind(marc_field_546,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_546$X546 <- str_replace(marc_field_546$X546,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_546[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_546$X546),str_replace_all(gsub(string,"\\3",marc_field_546$X546),"\\${2}.", "~"),NA)
}
marc_field_546 <- marc_field_546 %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"))
} else {
marc_field_546 <- data.frame(ZA_UWAGI = "", X546 = "", indicator = "", stringsAsFactors = FALSE) %>%
mutate(`$a` = "")
}Progress: 1 on 1 Progress: 1 on 1 if("$e" %in% colnames(marc_field_300)) {
za_opis_ks <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wydawnictwo %>% select(ZA_UWAGI,do_opisu),by="ZA_UWAGI") %>%
left_join(.,marc_field_300 %>% select(ZA_UWAGI,X300a=`$a`,X300b=`$b`,X300e=`$e`),by="ZA_UWAGI") %>%
left_join(.,marc_field_500 %>% select(ZA_UWAGI,X500a=`$a`),by="ZA_UWAGI") %>%
left_join(.,marc_field_546 %>% select(ZA_UWAGI,X546a=`$a`),by="ZA_UWAGI")
za_opis_ks[is.na(za_opis_ks)] <- ""
za_opis_ks <- za_opis_ks %>%
mutate(za_opis_ks = paste(ifelse(do_opisu!="",paste(as.character(do_opisu),", ",sep = ""),""),ifelse(X300a!="",paste(as.character(X300a),", ",sep = ""),""),ifelse(X300b!="",paste(as.character(X300b),", ",sep = ""),""),ifelse(X300e!="",paste(as.character(X300e),", ",sep = ""),""),ifelse(X500a!="",paste(as.character(X500a),", ",sep = ""),""),ifelse(X546a!="",as.character(X546a),""),sep = ""),
za_opis_ks = str_remove(za_opis_ks,"(, )+$")) %>%
select(ZA_UWAGI,za_opis_ks) %>%
unique() %>%
arrange(ZA_UWAGI,-nchar(za_opis_ks))
} else {
za_opis_ks <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wydawnictwo %>% select(ZA_UWAGI,do_opisu),by="ZA_UWAGI") %>%
left_join(.,marc_field_300 %>% select(ZA_UWAGI,X300a=`$a`,X300b=`$b`),by="ZA_UWAGI") %>%
left_join(.,marc_field_500 %>% select(ZA_UWAGI,X500a=`$a`),by="ZA_UWAGI") %>%
left_join(.,marc_field_546 %>% select(ZA_UWAGI,X546a=`$a`),by="ZA_UWAGI")
za_opis_ks[is.na(za_opis_ks)] <- ""
za_opis_ks <- za_opis_ks %>%
mutate(za_opis_ks = paste(ifelse(do_opisu!="",paste(as.character(do_opisu),", ",sep = ""),""),ifelse(X300a!="",paste(as.character(X300a),", ",sep = ""),""),ifelse(X300b!="",paste(as.character(X300b),", ",sep = ""),""),ifelse(X500a!="",paste(as.character(X500a),", ",sep = ""),""),ifelse(X546a!="",as.character(X546a),""),sep = ""),
za_opis_ks = str_remove(za_opis_ks,"(, )+$")) %>%
select(ZA_UWAGI,za_opis_ks) %>%
unique() %>%
arrange(ZA_UWAGI,-nchar(za_opis_ks))
}
za_opis_ks$id_grupy <- cumsum(!duplicated(za_opis_ks[1]))
za_opis_ks <- za_opis_ks[!duplicated(za_opis_ks$id_grupy),] %>%
select(-id_grupy)
wsp_info <- za_opis_ks %>%
left_join(tytul_wspolwydanie,by="ZA_UWAGI") %>%
left_join(BN_autor,by="ZA_UWAGI") %>%
mutate(wsp = paste("[Współwyd.: ",ifelse(AM_IMIE=="*","",AM_IMIE)," ",AM_NAZWISKO,": ",ZA_TYTUL,"]", sep = ""),
za_uwagi2 = str_remove_all(ZA_UWAGI,".$"))
wsp_info %$%
{ za_uwagi2 == dplyr::lag(za_uwagi2, 1)} %>%
as.numeric() %>%
{.} -> wsp_info$same
wsp_info$same[1] <- 0
wsp_info <- wsp_info %>%
arrange(za_uwagi2,-same)
za_opis_ks <- za_opis_ks %>%
bind_cols(wsp_info %>% select(wsp)) %>%
unite("za_opis_ks",za_opis_ks:wsp,remove = TRUE,sep = " ")
#12: seria wydawnicza
marc_field_490 <- data %>%
select(ZA_UWAGI,X490,X800,X830) %>%
mutate(X490 = ifelse(grepl("U\\+",X490),as.character(X830),as.character(X490))) %>%
mutate(X800 = ifelse(X490!="","",as.character(X800)),
X830 = ifelse(X490!="","",as.character(X830)),
X800 = str_replace(X800,"(\\$a)(.*)(\\$t)","\\1"),
X490 = ifelse(X490==""&X830!="",as.character(X830),
ifelse(X490==""&X800!="",as.character(X800),as.character(X490)))) %>%
select(ZA_UWAGI,X490) %>%
filter(X490!="") %>%
mutate(X490=str_replace_all(X490,"(^|\\|)","~\\1")) %>%
cSplit(.,"X490",sep = "~",direction = "long") %>%
filter(X490!="") %>%
mutate(X490=str_remove_all(X490,"^\\|")) %>%
mutate(indicator = str_replace_all(X490,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X490,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_490)[1]))
colnames(empty_table) <-subfield_list
marc_field_490<-cbind(marc_field_490,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_490$X490 <- str_replace(marc_field_490$X490,subfield_list_char[i],"|\\1")
}Progress: 1 on 2 Progress: 2 on 2 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_490[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_490$X490),str_replace_all(gsub(string,"\\3",marc_field_490$X490),"\\${2}.", "~"),NA)
}Progress: 1 on 2 Progress: 2 on 2 if ("$v" %in% colnames(marc_field_490)){
za_seria_wydawnicza <- marc_field_490 %>%
mutate(`$a` = str_replace_all(`$a`,"(=)(\\$a)","\\1 "),
`$a` = str_remove(`$a`," \\;+$| \\:+$"),
`$v` = ifelse(is.na(`$v`),"",as.character(`$v`))) %>%
filter(!is.na(`$a`)) %>%
mutate(seria = str_remove(paste("(",`$a`,"; ",`$v`,")",sep = ""),"; (?=\\)$)"),
seria = gsub("( : )(.)",". \\U\\2",perl=TRUE,seria)) %>%
select(ZA_UWAGI,seria) %>%
group_by(ZA_UWAGI) %>%
mutate(seria = paste(seria,collapse = " ")) %>%
ungroup() %>%
unique() %>%
mutate(seria = str_replace_all(seria,"\\$.","; ")) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
} else {
za_seria_wydawnicza <- marc_field_490 %>%
mutate(`$a` = str_replace_all(`$a`,"(=)(\\$a)","\\1 "),
`$a` = str_remove(`$a`," \\;+$| \\:+$")) %>%
filter(!is.na(`$a`)) %>%
mutate(seria = str_remove(paste("(",`$a`,")",sep = ""),"; (?=\\)$)"),
seria = gsub("( : )(.)",". \\U\\2",perl=TRUE,seria)) %>%
select(ZA_UWAGI,seria) %>%
group_by(ZA_UWAGI) %>%
mutate(seria = paste(seria,collapse = " ")) %>%
ungroup() %>%
unique() %>%
mutate(seria = str_replace_all(seria,"\\$.","; ")) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
}
#13: tomy
za_tomy <- data %>%
select(ZA_UWAGI) %>%
mutate(za_tomy = NA)
#14: adnotacje
za_adnotacje <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_autor %>% select(ZA_UWAGI,ZA_ADNOTACJE),by="ZA_UWAGI") %>%
mutate(ZA_ADNOTACJE = ifelse(is.na(ZA_ADNOTACJE),"",paste(as.character(ZA_ADNOTACJE),"# ",sep = "")),
ZA_ADNOTACJE = str_remove(ZA_ADNOTACJE,"(# )+$")) %>%
select(ZA_UWAGI,ZA_ADNOTACJE) %>%
unique() %>%
arrange(ZA_UWAGI,-nchar(ZA_ADNOTACJE))
za_adnotacje$id_grupy <- cumsum(!duplicated(za_adnotacje[1]))
za_adnotacje <- za_adnotacje[!duplicated(za_adnotacje$id_grupy),] %>%
select(-id_grupy)
#15: BN_URL
BN_URL <- data %>%
select(ZA_UWAGI,BN_URL)
#wyrównanie liczby wierszy do liczby wierszy obiektu data
BN_autor <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_autor %>% select(ZA_UWAGI,AM_AUTOR_ID,AM_NAZWISKO,AM_IMIE),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, AM_AUTOR_ID = paste(AM_AUTOR_ID, collapse="|"), AM_NAZWISKO = paste(AM_NAZWISKO, collapse="|"), AM_IMIE = paste(AM_IMIE, collapse="|"))
BN_wspoltworca <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wspoltworca %>% select(ZA_UWAGI,OS_OSOBA_ID,OS_NAZWISKO,OS_IMIE,fo_symbol),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, OS_OSOBA_ID = paste(OS_OSOBA_ID, collapse="|"), OS_NAZWISKO = paste(OS_NAZWISKO, collapse="|"), OS_IMIE = paste(OS_IMIE, collapse="|"), fo_symbol = paste(fo_symbol, collapse="|")) %>%
mutate(fo_symbol = ifelse(fo_symbol=="NULL","NA",as.character(fo_symbol)))
BN_wydawnictwo <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wydawnictwo %>% select(ZA_UWAGI,WY_WYDAWNICTWO_ID,WY_NAZWA,WY_MIASTO,za_rok_wydania),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, WY_WYDAWNICTWO_ID = paste(WY_WYDAWNICTWO_ID, collapse="|"), WY_NAZWA = paste(WY_NAZWA, collapse="|"), WY_MIASTO = paste(WY_MIASTO, collapse="|"), za_rok_wydania = paste(unique(za_rok_wydania), collapse="|")) %>%
mutate(za_rok_wydania = ifelse(za_rok_wydania=="NA","",as.integer(za_rok_wydania)))pojawi戼㸳y si攼㹡 warto㤼㹣ci NA na skutek przekszta戼㸳cenia#połączenie wszystkich elementów w jedną tabelę
kolejnosc <- data.frame(kolejnosc=c("ZA_UWAGI","RZ_NAZWA","ZA_RO_ROK","ZA_TYPE","RZ_RODZAJ_ID","DZ_NAZWA","DZ_DZIAL_ID","TW_TWORCA_ID","AM_AUTOR_ID","AM_NAZWISKO","AM_IMIE","ZA_TYTUL","ZA_TYTUL_ORYGINALU","ZA_JEZYK_ORYGINALU","OS_OSOBA_ID","OS_NAZWISKO","OS_IMIE","fo_symbol","za_opis_wspoltworcow","wydanie","za_tomy","instytucja","WY_WYDAWNICTWO_ID","WY_MIASTO","WY_NAZWA","za_rok_wydania","za_opis_ks","seria","TW_NAZWISKO","TW_IMIE","redaktor_dzialu","ZA_ADNOTACJE","BN_URL"))
polaczone <- data %>%
select(ZA_UWAGI) %>%
left_join(.,pola_pbl,by = "ZA_UWAGI") %>%
left_join(.,BN_autor,by = "ZA_UWAGI") %>%
left_join(.,za_tytul,by = "ZA_UWAGI") %>%
left_join(.,za_tytul_oryginalu,by = "ZA_UWAGI") %>%
left_join(.,za_jezyk_oryginalu,by = "ZA_UWAGI") %>%
left_join(.,BN_wspoltworca,by = "ZA_UWAGI") %>%
left_join(.,za_opis_wspoltworcow,by = "ZA_UWAGI") %>%
left_join(.,za_wydanie,by = "ZA_UWAGI") %>%
left_join(.,za_instytucja,by = "ZA_UWAGI") %>%
left_join(.,BN_wydawnictwo,by = "ZA_UWAGI") %>%
left_join(.,za_opis_ks,by = "ZA_UWAGI") %>%
left_join(.,za_seria_wydawnicza,by = "ZA_UWAGI") %>%
left_join(.,za_tomy,by = "ZA_UWAGI") %>%
left_join(.,za_adnotacje,by = "ZA_UWAGI") %>%
left_join(.,BN_URL,by = "ZA_UWAGI") %>%
select(as.vector(kolejnosc$kolejnosc))
colnames(polaczone) <- c("rekord_BN","rz_nazwa","za_ro_rok","za_type","rz_rodzaj_id","DZ_NAZWA","DZ_DZIAL_ID","tw_tworca_id","am_autor_id","am_nazwisko","am_imie","za_tytul","za_tytul_oryginalu","za_jezyk_oryginalu","os_osoba_id","os_nazwisko","os_imie","fo_symbol","za_opis_wspoltworcow","za_wydanie","za_tomy","za_instytucja","wy_wydawnictwo_id","wy_miejsce","wy_nazwa","za_rok_wydania","za_opis_fizyczny_ksiazki","za_seria_wydawnicza","tw_nazwisko","tw_imie","pracownik","za_adnotacje","BN_URL")
#zasygnalizowanie niepoprawnego kodowania
x <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("<U\\+(....)>",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)!=0,paste(polaczone$za_adnotacje,paste("UWAGA! Błąd kodowania w polu ",as.character(names(polaczone[i]))," Znajdź frazę \"???\" i zredaguj pole.",sep = ""),sep = "# "),paste("UWAGA! Błąd kodowania w polu ",as.character(names(polaczone[i]))," Znajdź frazę \"???\" i zredaguj pole.",sep = "")),as.character(polaczone$za_adnotacje))
polaczone[,i] <- gsub("<U\\+(....)>", "???", polaczone[,i])
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności znaku $ w którymś z pól
X <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("\\$",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)==0,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano znak \"$\". Zredaguj treść pola.",sep = ""),paste(polaczone$za_adnotacje,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano znak \"$\". Zredaguj treść pola.",sep = ""),sep = "# ")),as.character(polaczone$za_adnotacje))
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności frazy "character(0)" w którymś z pól
X <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("character\\(0\\)",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)==0,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano frazę \"character(0)\". Zredaguj treść pola.",sep = ""),paste(polaczone$za_adnotacje,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano frazę \"character(0)\". Zredaguj treść pola.",sep = ""),sep = "# ")),as.character(polaczone$za_adnotacje))
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności znaku # w opisie współtwórców
polaczone$za_adnotacje <- ifelse(grepl("\\#",polaczone$za_opis_wspoltworcow),
ifelse(nchar(polaczone$za_adnotacje)==0,"UWAGA! Ze względu na konflikt w opisie współtwórców wybierz właściwą wartość (strefa odpowiedzialności \"#\" współtwórcy z pola 700).",paste(polaczone$za_adnotacje,"UWAGA! Ze względu na konflikt w opisie współtwórców wybierz właściwą wartość (strefa odpowiedzialności # współtwórcy z pola 700).",sep = "# ")),as.character(polaczone$za_adnotacje))
out <- cSplit(polaczone, c("am_autor_id", "am_nazwisko", "am_imie","os_osoba_id","os_nazwisko", "os_imie", "fo_symbol","wy_wydawnictwo_id","wy_miejsce","wy_nazwa"),sep = "|",direction = "long") %>%
unique()
out$rekord_BN <- ifelse(is.na(out$rekord_BN),'',as.character(out$rekord_BN))
out$rz_nazwa <- ifelse(is.na(out$rz_nazwa),'',as.character(out$rz_nazwa))
out$za_ro_rok <- ifelse(is.na(out$za_ro_rok),'',as.character(out$za_ro_rok))
out$za_type <- ifelse(is.na(out$za_type),'',as.character(out$za_type))
out$rz_rodzaj_id <- ifelse(is.na(out$rz_rodzaj_id),'',as.character(out$rz_rodzaj_id))
out$DZ_NAZWA <- ifelse(is.na(out$DZ_NAZWA),'',as.character(out$DZ_NAZWA))
out$DZ_DZIAL_ID <- ifelse(is.na(out$DZ_DZIAL_ID),'',as.character(out$DZ_DZIAL_ID))
out$tw_tworca_id <- ifelse(is.na(out$tw_tworca_id),'',as.character(out$tw_tworca_id))
out$am_autor_id <- ifelse(is.na(out$am_autor_id),'',as.character(out$am_autor_id))
out$am_nazwisko <- ifelse(is.na(out$am_nazwisko),'',as.character(out$am_nazwisko))
out$am_imie <- ifelse(is.na(out$am_imie),'',as.character(out$am_imie))
out$za_tytul <- ifelse(is.na(out$za_tytul),'',as.character(out$za_tytul))
out$za_tytul_oryginalu <- ifelse(is.na(out$za_tytul_oryginalu),'',as.character(out$za_tytul_oryginalu))
out$za_jezyk_oryginalu <- ifelse(is.na(out$za_jezyk_oryginalu),'',as.character(out$za_jezyk_oryginalu))
out$os_osoba_id <- ifelse(is.na(out$os_osoba_id),'',as.character(out$os_osoba_id))
out$os_nazwisko <- ifelse(is.na(out$os_nazwisko),'',as.character(out$os_nazwisko))
out$os_imie <- ifelse(is.na(out$os_imie),'',as.character(out$os_imie))
out$fo_symbol <- ifelse(is.na(out$fo_symbol),'',as.character(out$fo_symbol))
out$za_opis_wspoltworcow <- ifelse(is.na(out$za_opis_wspoltworcow),'',as.character(out$za_opis_wspoltworcow))
out$za_wydanie <- ifelse(is.na(out$za_wydanie),'',as.character(out$za_wydanie))
out$za_tomy <- ifelse(is.na(out$za_tomy),'',as.character(out$za_tomy))
out$za_instytucja <- ifelse(is.na(out$za_instytucja),'',as.character(out$za_instytucja))
out$wy_wydawnictwo_id <- ifelse(is.na(out$wy_wydawnictwo_id),'',as.character(out$wy_wydawnictwo_id))
out$wy_miejsce <- ifelse(is.na(out$wy_miejsce),'',as.character(out$wy_miejsce))
out$wy_nazwa <- ifelse(is.na(out$wy_nazwa),'',as.character(out$wy_nazwa))
out$za_rok_wydania <- ifelse(is.na(out$za_rok_wydania),'',as.character(out$za_rok_wydania))
out$za_opis_fizyczny_ksiazki <- ifelse(is.na(out$za_opis_fizyczny_ksiazki),'',as.character(out$za_opis_fizyczny_ksiazki))
out$za_seria_wydawnicza <- ifelse(is.na(out$za_seria_wydawnicza),'',as.character(out$za_seria_wydawnicza))
out$tw_nazwisko <- ifelse(is.na(out$tw_nazwisko),'',as.character(out$tw_nazwisko))
out$tw_imie <- ifelse(is.na(out$tw_imie),'',as.character(out$tw_imie))
out$pracownik <- ifelse(is.na(out$pracownik),'',as.character(out$pracownik))
out$za_adnotacje <- ifelse(is.na(out$za_adnotacje),'',as.character(out$za_adnotacje))
out$BN_URL <- ifelse(is.na(out$BN_URL),'',as.character(out$BN_URL))
out %$%
{ rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,) & BN_URL==lag(BN_URL,)} %>%
as.numeric() %>%
{.} -> out$same
out$same[1] <- 0
out$dzielone <- paste(out$am_autor_id,out$am_nazwisko,out$am_imie,out$os_osoba_id,out$os_nazwisko,out$os_imie,out$fo_symbol,out$wy_wydawnictwo_id,out$wy_miejsce,out$wy_nazwa,sep = "")
out <- out %>%
filter(!(same==1&dzielone=="")) %>%
select(1:33)
out %$%
{ rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,) & BN_URL==lag(BN_URL,)} %>%
as.numeric() %>%
{.} -> out$same
#ucięcie zbyt długich ciągów znaków, by weszły do oracle'a
dlugosci <- data.frame(pole = c("am_nazwisko", "am_imie", "za_tytul", "za_tytul_oryginalu", "za_jezyk_oryginalu", "os_nazwisko", "os_imie", "za_opis_wspoltworcow", "za_instytucja", "wy_miejsce", "wy_nazwa", "za_opis_fizyczny_ksiazki", "za_seria_wydawnicza", "tw_nazwisko", "tw_imie", "za_adnotacje"), liczba_znakow = c(50,40,500,500,100,50,40,500,255,40,255,1000,255,200,40,2000))
x <- match(dlugosci$pole,names(out))
for (i in x) {
progress(match(i,x), max.value = length(x))
dlugosc <- dlugosci$liczba_znakow[match(names(out[i]),dlugosci$pole)]
out$za_adnotacje <- ifelse(dlugosc<nchar(as.character(out[,i]))&out$za_adnotacje!="",paste(out$za_adnotacje,paste("UWAGA! Pole ",as.character(names(out[i]))," było zbyt długie i zostało przycięte. Zredaguj treść pola.",sep = ""),sep = "# "),
ifelse(dlugosc<nchar(as.character(out[,i]))&out$za_adnotacje=="",paste("UWAGA! Pole ",as.character(names(out[i]))," było zbyt długie i zostało przycięte. Zredaguj treść pola.",sep = ""),as.character(out$za_adnotacje)))
out[,i] <- ifelse(dlugosc<nchar(as.character(out[,i])),as.character(substr(out[,i],1,dlugosc)),as.character(out[,i]))
}Progress: 1 on 16 Progress: 2 on 16 Progress: 3 on 16 Progress: 4 on 16 Progress: 5 on 16 Progress: 6 on 16 Progress: 7 on 16 Progress: 8 on 16 Progress: 9 on 16 Progress: 10 on 16 Progress: 11 on 16 Progress: 12 on 16 Progress: 13 on 16 Progress: 14 on 16 Progress: 15 on 16 Progress: 16 on 16 out$rekord_BN[out$same == 1] <- ""
out$rz_nazwa[out$same == 1] <- ""
out$za_ro_rok[out$same == 1] <- ""
out$za_type[out$same == 1] <- ""
out$rz_rodzaj_id[out$same == 1] <- ""
out$DZ_NAZWA[out$same == 1] <- ""
out$DZ_DZIAL_ID[out$same == 1] <- ""
out$tw_tworca_id[out$same == 1] <- ""
out$za_tytul[out$same == 1] <- ""
out$za_tytul_oryginalu[out$same == 1] <- ""
out$za_jezyk_oryginalu[out$same == 1] <- ""
out$za_opis_wspoltworcow[out$same == 1] <- ""
out$za_wydanie[out$same == 1] <- ""
out$za_tomy[out$same == 1] <- ""
out$za_instytucja[out$same == 1] <- ""
out$za_rok_wydania[out$same == 1] <- ""
out$za_opis_fizyczny_ksiazki[out$same == 1] <- ""
out$za_seria_wydawnicza[out$same == 1] <- ""
out$tw_nazwisko[out$same == 1] <- ""
out$tw_imie[out$same == 1] <- ""
out$pracownik[out$same == 1] <- ""
out$za_adnotacje[out$same == 1] <- ""
out$BN_URL[out$same == 1] <- ""
out <- out %>%
select(1:33)
#pętla zapisująca po ok. 2000 wierszy z uwzględnieniem kompletności rekordów bibliograficznych rozpisanych na kilka wierszy
out <- out %>%
mutate(podzial = ifelse(rekord_BN!="",as.character(rekord_BN),NA)) %>%
fill(podzial)
ile <- unique(out$podzial)
ile <- split(unique(ile), ceiling(seq_along(unique(ile))/1500))
x <- 1:length(ile)
for (i in x) {
progress(match(i,x), max.value = length(x))
final <- out %>%
filter(podzial %in% ile[[i]]) %>%
select(-podzial)
write.xlsx(final, paste("C:/Users/",employee_name,"/Desktop/",import_year,"_wspolwydanie_do_importu",i,".xlsx",sep = ""),sheetName = "gotowe")
}Progress: 1 on 1 bezpiecznik UWAGA! Najpierw należy przeprowadzić import do bazy, a następnie egzekwować poniższą część kodu
#w formularzu książkowym wyszukaj w polu uwag frazę '%akceptuje:NA%' i - jeśli takowa wystąpi - zastąp NA imieniem właściwego pracownika
#wiem, że to skasowaliśmy, ale doszedłem do wniosku, że jednak warto to sprawdzić#automatyczny IOK dla rekordów bibliograficznych
nadpisanie_zapisow_IOK <- read.csv2(paste("C:/Users/",employee_name,"/Desktop/imp_",import_year,"_automatyczne_podmiotowe.csv",sep = ""), encoding = "UTF-8", header = TRUE, stringsAsFactors = FALSE)Komunikaty ostrzegawcze:
1: Unknown or uninitialised column: 'drugi_autor'.
2: Unknown or uninitialised column: 'drugi_autor'.
3: Unknown or uninitialised column: 'drugi_autor'.
4: Unknown or uninitialised column: 'drugi_autor'.
5: Unknown or uninitialised column: 'drugi_autor'.
6: Unknown or uninitialised column: 'drugi_autor'. nadpisanie_zapisow_IOK <- nadpisanie_zapisow_IOK %>%
mutate(rekord_BN = as.character(rekord_BN)) %>%
left_join(.,dbGetQuery(PBL,
"select z.za_zapis_id, z.za_status_imp, z.za_uwagi
from pbl_zapisy z
where za_uwagi like 'BN: %'
and z.za_url_bn is not null") %>% mutate(ZA_UWAGI = str_extract(ZA_UWAGI,"(?<=BN: )(.*?)(?=, import)")),by=c("rekord_BN"="ZA_UWAGI")) %>%
#filter(grepl(paste("^BN\\: ",import_year, sep = ""),rekord_BN)) %>%
rename(jest = ZA_STATUS_IMP) %>%
mutate(ID2 = NA) %>%
select(ZA_ZAPIS_ID,ID2,jest,powinno_byc)
write.xlsx(nadpisanie_zapisow_IOK, paste("C:/Users/",employee_name,"/Desktop/",import_year,"_nadpisanie_zapisow_IOK.xlsx",sep = ""),sheetName = "ZA_STATUS_IMP")
#bezpiecznik
#automatyczny IOK dla nowych twórców w kartotece powinien zostać przeprowadzony z poziomu importera
#automatycznie nadpisać rekordy bibliograficzne i kartoteczne przed kolejnym krokiem
#bezpiecznik
#jeśli podczas importu nie da się zaimportować rekordów - wprowadź je ręcznie w tym momencie
#kolumnę BN-URL należy nadpisać automatycznie#docelowo przygotowujemy plik od razu na dysk, ale na razie xlsx do wgrania na dysk (brak funkcjonalności googlesheets4)
#po tym przygotować na dysku unikatowe linki
bn_ok <- chunk11Komunikaty ostrzegawcze:
1: Unknown or uninitialised column: 'drugi_autor'.
2: Unknown or uninitialised column: 'drugi_autor'.
3: Unknown or uninitialised column: 'drugi_autor'.
4: Unknown or uninitialised column: 'drugi_autor'.
5: Unknown or uninitialised column: 'drugi_autor'.
6: Unknown or uninitialised column: 'drugi_autor'. kolejnosc <- c("pracownik","ZA_ZAPIS_ID","typ_ksiazki","link","link_1","rok","status","blad_w_imporcie_tytulu","X100","X245","X650","X655","X246","X250","X260","X300","X380","X490","X500","X501","X546","X600","X700","X041","X080")
rocznik_pbl_po_imporcie <- dbGetQuery(PBL,
"select z.za_zapis_id, z.za_status_imp, z.za_uwagi
from pbl_zapisy z
where za_uwagi like 'BN: %'
and z.za_url_bn is not null") %>%
filter(grepl(paste("^BN\\: ",import_year, sep = ""),ZA_UWAGI)) %>%
mutate(ZA_UWAGI = str_extract(ZA_UWAGI,"(?<=BN: )(.*?)(?=, import)")) %>%
rename(status = ZA_STATUS_IMP) %>%
left_join(.,bn_ok %>% select(pracownik = redaktor_dzialu,typ_ksiazki = rodzaj_ksiazki,link = BN_URL, rok, X100, X245, X650, X655, X246, X250, X260, X300, X380, X490, X500, X501, X546, X600, X700, X041, X080,ZA_UWAGI) %>% mutate(link_1 = paste("=HYPERLINK(\"",link,"\";\"link do książki w BN\")",sep = ""), blad_w_imporcie_tytulu = FALSE),by="ZA_UWAGI") %>%
select(noquote(kolejnosc))
rocznik_pbl_po_imporcie$pracownik[rocznik_pbl_po_imporcie$status=="IOK"] <- "AUTOMAT"
write.xlsx(rocznik_pbl_po_imporcie, paste("C:/Users/",employee_name,"/Desktop/ks_BN_",import_year,"_listy_pracowników.xlsx",sep = ""),sheetName = "lista_ksiazek")
#utwórz nowy podfolder w folderze importu BN i prześlij listę na dysk, przygotuj widoki filtrów dla wszystkich osób i roześlij unikatowe linkireczne_uzupelnienie <- c(2765929, 3649977, 2786810, 2605520, 3689766, 2823171, 2792556, 2766994, 2634324, 3592064, 3585580, 3613774, 2696408, 3847202, 1971301, 2691380, 3437017, 1174585, 1069065, 3582672, 2768841, 3794149, 2646124, 2654208, 3737322, 3671430, 2557743, 2281148, 3688912, 2319924, 2253422, 2981426, 2506316, 2670050, 2777795, 3689394, 1104406, 3690794, 2593203, 2603250, 3428978, 2647968, 3745919, 1913543, 2672858, 2657360, 3488205, 3689219, 2673127, 3742898, 1113842, 2838554, 2571213, 3080143, 2954229, 3070765, 1263048, 1112879, 3731300, 3643815, 2689671, 2618579, 2821534, 2638139, 2671339, 1834841, 2718281, 2597709, 2981319, 2684222, 2311826, 2752239, 3718134, 2792653, 2686901, 2642331, 3835809, 2617564, 3689166, 2866679, 2845987, 3688926, 3716499, 2636123, 2682447, 3578479, 3641144, 2718274, 3669958, 3718156, 3768850, 3613683, 3719337, 3260494, 2660087, 3689612, 2176545, 1683477, 3626352, "brak danych (CR)", "brak danych (CR)", "brak danych (CR)", "brak danych (CR)", 1000000028663, "brak danych (CR)", 3065133, "brak danych (CR)", "brak danych (CR)", 3092990, 2588979, 3010453, 2609754, 2431531, 2660815, 1187059, 2794040, 2786711)
Było 50 lub więcej ostrzeżeń (użyj 'warnings()' aby zobaczyć pierwsze 50)pbl_bn_import_fix$id <- reczne_uzupelnienie
pbl_bn_import <- pbl_bn_import %>%
bind_rows(pbl_bn_import_fix %>% filter(id != "brak danych (CR)"))
pbl_bn_viaf_import <- data.frame(stringsAsFactors=FALSE)
x <- 1:length(pbl_bn_import$TW_TWORCA_ID)
for (i in x) {
progress(match(i,x), max.value = length(x))
name <- paste(str_replace_all(str_remove_all(paste(unlist(jsonlite::fromJSON(paste("https://data.bn.org.pl/api/authorities.json?id=",pbl_bn_import$id[i],sep = "")) %>% .$authorities %>% .$marc %>% .$fields %>% `[[`(1) %>% .$`100` %>% `[[`(3)),collapse = "|"),"\\|NA"),"(\\|)(\\(\\d+)"," \\2"),str_replace_all(str_remove_all(paste(unlist(jsonlite::fromJSON(paste("https://data.bn.org.pl/api/authorities.json?id=",pbl_bn_import$id[i],sep = "")) %>% .$authorities %>% .$marc %>% .$fields %>% `[[`(1) %>% .$`400` %>% `[[`(3)),collapse = "|"),"\\|NA"),"(\\|)(\\(\\.+)"," \\2"),sep = "|")
viaf <- str_remove_all(paste(unlist(jsonlite::fromJSON(paste("https://data.bn.org.pl/api/authorities.json?id=",pbl_bn_import$id[i],sep = "")) %>% .$authorities %>% .$marc %>% .$fields %>% `[[`(1) %>% .$`024` %>% .$subfields),collapse = "|"),"(\\|NA)|(\\|viaf)")
iteration <- data.frame(pbl_bn_import %>% select(1:3,5) %>% slice(i), name = name, viaf = viaf)
pbl_bn_viaf_import <- rbind(pbl_bn_viaf_import,iteration)
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2548 Progress: 2520 on 2548 Progress: 2521 on 2548 Progress: 2522 on 2548 Progress: 2523 on 2548 Progress: 2524 on 2548 Progress: 2525 on 2548 Progress: 2526 on 2548 Progress: 2527 on 2548 Progress: 2528 on 2548 Progress: 2529 on 2548 Progress: 2530 on 2548 Progress: 2531 on 2548 Progress: 2532 on 2548 Progress: 2533 on 2548 Progress: 2534 on 2548 Progress: 2535 on 2548 Progress: 2536 on 2548 Progress: 2537 on 2548 Progress: 2538 on 2548 Progress: 2539 on 2548 Progress: 2540 on 2548 Progress: 2541 on 2548 Progress: 2542 on 2548 Progress: 2543 on 2548 Progress: 2544 on 2548 Progress: 2545 on 2548 Progress: 2546 on 2548 Progress: 2547 on 2548 Progress: 2548 on 2548 pbl_bn_viaf_import <- pbl_bn_viaf_import %>%
rename(pbl_id = TW_TWORCA_ID,
pbl_nazwisko = TW_NAZWISKO,
pbl_imie = TW_IMIE,
BN_id = id,
BN_name = name) %>%
mutate(czy_ten_sam = "tak") %>%
select(pbl_id,pbl_nazwisko,pbl_imie,BN_id,BN_name,czy_ten_sam,viaf) %>%
unique()